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pacman::p_load(sf, spdep, tmap, tidyverse, knitr, sp, reshape2, stplanr, httr, performance)Take-home-Ex2:Applied Spatial Interaction Models: A case study of Singapore public bus commuter flows
1 Setting the Scene
Urban mobility challenges encompass understanding the driving forces behind early morning commutes for city dwellers and evaluating the impact of removing public bus services along specific routes, presenting complex issues for transport operators and urban managers. Traditional commuter surveys, though effective, are costly and time-consuming. With the digitization of urban infrastructures, particularly public transportation, massive geospatial data sets are generated through technologies like GPS and SMART cards. However, the inability to efficiently utilize this data can hinder effective decision-making. This exercise aims to address two key issues: the lack of research on integrating diverse open data sources for policymaking and the insufficient exploration of geospatial data science for decision support.
2 Objective
The objective is to conduct a case study showcasing the potential of geospatial data science in integrating publicly available data to build spatial interaction models, explaining factors influencing urban mobility patterns in public bus.
3 The Study Area and Data
3.1 Aspatial Data
Open Government Data
Passenger Volume by Origin Destination Bus Stops from LTA DataMall.
School Directory and Information from Data.gov.sg.
Instructor-curated Datasets for Educational Purpose
- HDB: This data set is the geocoded version of HDB Property Information data from Data.gov.sg. The data set is prepared using September 2021 data.
3.2 Geospatial Data
Open Government Data
Bus Stop Location, Train Station and Train Station Exit Point from LTA DataMall.
Master Plan 2019 Subzone Boundary from Data.gov.sg.
Instructor-curated Datasets for Educational Purpose
- Business, entertn, F&B, FinServ, Leisure&Recreation and Retails consisting locations of business establishments, entertainments, food and beverage outlets, financial centres, leisure and recreation centres, retail and services stores/outlets.
4 The Task
The specific tasks of this take-home exercise are as follows:
4.1 Geospatial Data Science
Derive an analytical hexagon data of 375m (this distance is the perpendicular distance between the centre of the hexagon and its edges) to represent the traffic analysis zone (TAZ).
With reference to the time intervals provided in the table below, construct an O-D matrix of commuter flows for a time interval of your choice by integrating Passenger Volume by Origin Destination Bus Stops and Bus Stop Location from LTA DataMall. The O-D matrix must be aggregated at the analytics hexagon level
Peak hour period Bus tap on time Weekday morning peak 6am to 9am Weekday afternoon peak 5pm to 8pm Weekend/holiday morning peak 11am to 2pm Weekend/holiday evening peak 4pm to 7pm Display the O-D flows of the passenger trips by using appropriate geovisualisation methods (not more than 5 maps).
Describe the spatial patterns revealed by the geovisualisation (not more than 100 words per visual).
Assemble at least three propulsive and three attractiveness variables by using aspatial and geospatial from publicly available sources.
Compute a distance matrix by using the analytical hexagon data derived earlier.
4.2 Spatial Interaction Modelling
Calibrate spatial interactive models to determine factors affecting urban commuting flows at the selected time interval.
Present the modelling results by using appropriate geovisualisation and graphical visualisation methods. (Not more than 5 visuals)
With reference to the Spatial Interaction Model output tables, maps and data visualisation prepared, describe the modelling results. (not more than 100 words per visual).
5 Setting the Analytical Tools
Before I get started, I need to ensure that sf, spdep, tmap, tidyverse, and knitr packages of R are currently installed in my R.
sf : for importing and handling geospatial data in R,
spdep : for computing spatial weights, global and local spatial autocorrelation statistics, and
tmap : for preparing cartographic quality chropleth map
tidyverse : for wrangling attribute data in R ; tidyverse has already included collection of packages such as readr, ggplot2, dplyr, tiblle, purr, etc.
knitr: for facilitating dynamic report generation in R Markdown documents.
sp: for handling spatial data in R
reshape2: to reshape data frames in R, inclusing melt or cast for transforming data between wide and long format
stplanr: for analysing and visualizing transportation data
httr: for making HTTP requests in T inclluding interacting with web APIs.
performance: for comparing the performance of the models
The code chunk below is used to ensure that the necessary R packages have been installed , if it is yet to be installed, it will then be installed and ready to be used in the R environment.
6 Working with Aspatial Data (Commuter Flow)
6.1 Importing OD Csv File into R Environment
Next, I will import Passenger Volume by Origin Destination Bus Stops data set: origin_destination_bus_202310.csv downloaded from LTA Datamall for October 2023 into R by using st_read() of readr package. The output is R dataframe class. In total, there are 5,694,297 records with 7 columns.
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odbus <- read_csv("data/aspatial/origin_destination_bus_202310.csv")The code chunk below uses glimpse() of dplyr package to display the odbus tibble data tables.
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glimpse(odbus)Rows: 5,694,297
Columns: 7
$ YEAR_MONTH <chr> "2023-10", "2023-10", "2023-10", "2023-10", "2023-…
$ DAY_TYPE <chr> "WEEKENDS/HOLIDAY", "WEEKDAY", "WEEKENDS/HOLIDAY",…
$ TIME_PER_HOUR <dbl> 16, 16, 14, 14, 17, 17, 17, 7, 14, 14, 10, 20, 20,…
$ PT_TYPE <chr> "BUS", "BUS", "BUS", "BUS", "BUS", "BUS", "BUS", "…
$ ORIGIN_PT_CODE <chr> "04168", "04168", "80119", "80119", "44069", "2028…
$ DESTINATION_PT_CODE <chr> "10051", "10051", "90079", "90079", "17229", "2014…
$ TOTAL_TRIPS <dbl> 3, 5, 3, 5, 4, 1, 24, 2, 1, 7, 3, 2, 5, 1, 1, 1, 1…From the glimpse() check above, it is shown that the ORIGIN_PT_CODE and DESTINATION_PT_CODE are in character type. Both of them need to be converted to factor type to work with categorical variables so that I can use them to georeference with bus stop location data.
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odbus$ORIGIN_PT_CODE <- as.factor(odbus$ORIGIN_PT_CODE)
odbus$DESTINATION_PT_CODE <- as.factor(odbus$DESTINATION_PT_CODE) Next, I will confirm the data type changes using glimpse().
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glimpse(odbus)Rows: 5,694,297
Columns: 7
$ YEAR_MONTH <chr> "2023-10", "2023-10", "2023-10", "2023-10", "2023-…
$ DAY_TYPE <chr> "WEEKENDS/HOLIDAY", "WEEKDAY", "WEEKENDS/HOLIDAY",…
$ TIME_PER_HOUR <dbl> 16, 16, 14, 14, 17, 17, 17, 7, 14, 14, 10, 20, 20,…
$ PT_TYPE <chr> "BUS", "BUS", "BUS", "BUS", "BUS", "BUS", "BUS", "…
$ ORIGIN_PT_CODE <fct> 04168, 04168, 80119, 80119, 44069, 20281, 20281, 1…
$ DESTINATION_PT_CODE <fct> 10051, 10051, 90079, 90079, 17229, 20141, 20141, 1…
$ TOTAL_TRIPS <dbl> 3, 5, 3, 5, 4, 1, 24, 2, 1, 7, 3, 2, 5, 1, 1, 1, 1…6.2 Checking for Duplicate Commuter Flow
Code
duplicate_rec <- odbus %>%
group_by_all() %>%
filter(n()>1) %>%
ungroup()There is no duplicate record found on odbus dataset.
6.3 Extracting the Study Data
For the purpose of this take-home exercise, I will extract commuting flows on Weekend/holiday morning peak which is between 11am to 2pm. In total, there are 222,154 records with origin and destination pair for Weekends/Holiday Morning Peak Hour.
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odbus11_14 <- odbus %>%
filter(DAY_TYPE == "WEEKENDS/HOLIDAY") %>%
filter(TIME_PER_HOUR >= 11 & TIME_PER_HOUR <= 14) %>%
group_by(ORIGIN_PT_CODE,DESTINATION_PT_CODE) %>%
summarise(TRIPS = sum(TOTAL_TRIPS))Show the code
glimpse(odbus11_14)Rows: 222,154
Columns: 3
Groups: ORIGIN_PT_CODE [5,012]
$ ORIGIN_PT_CODE <fct> 01012, 01012, 01012, 01012, 01012, 01012, 01012, 0…
$ DESTINATION_PT_CODE <fct> 01112, 01113, 01121, 01211, 01311, 01549, 01559, 0…
$ TRIPS <dbl> 265, 189, 120, 141, 218, 1, 7, 16, 8, 8, 58, 21, 7…7 Working with Geospatial Data
7.1 Importing Shapefile into R Environment
- Bus Stop Location
The code chunk below uses st_read() of sf package to import BusStop shapefile into R. The imported shapefile will be simple features Object of sf. Then, I use st_transform of sp package to convert coordinates to EPSG code of 3414 for SVY21 (projected coordinate system for Singapore). There are 5,161 point coordinates of bus stops.
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busstop <- st_read(dsn = "data/geospatial", layer = "BusStop") %>%
st_transform(crs = 3414)Reading layer `BusStop' from data source
`W:\widyayutika\ISSS624\Take-home_Exercise\Take-home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 5161 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 3970.122 ymin: 26482.1 xmax: 48284.56 ymax: 52983.82
Projected CRS: SVY217.1.1 Checking Duplicate Bus Stop
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duplicate_bus_stop <- busstop %>%
group_by(BUS_STOP_N) %>%
filter(n()>1)There are 32 duplicated records with same BUS_STOP_N but different geometry points. However, upon investigation, the coordinates are quite near to each other, this lead to the possibility of being a temporary bus stop. In view of this, I will remove the duplicated records and only keep the first occurrence using the code chunk below. In total, now there are 5,145 point coordinates.
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busstop <- busstop %>%
distinct(BUS_STOP_N, .keep_all =TRUE)- Master Plan 2019 Subzone Boundary
The code chunk below uses st_read() of sf package to import MPSZ-19 shapefile into R. The imported shapefile will be simple features Object of sf. Then, I use st_transform of sp package to convert coordinates to EPSG code of 3414 for SVY21 (projected coordinate system for Singapore).
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mpsz <- st_read(dsn = "data/geospatial", layer = "MPSZ-2019") %>%
st_transform(crs = 3414)Reading layer `MPSZ-2019' from data source
`W:\widyayutika\ISSS624\Take-home_Exercise\Take-home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 332 features and 6 fields
Geometry type: MULTIPOLYGON
Dimension: XY
Bounding box: xmin: 103.6057 ymin: 1.158699 xmax: 104.0885 ymax: 1.470775
Geodetic CRS: WGS 847.2 Creating Honeycomb/Hexagon Layer
Honeycomb layer are preferred to replace coarse and irregular Master Plan 2019 Sub-zone GIS data set of URA because hexagon reduce sampling bias due to its grid shape of low perimeter to are ratio and its ability to form evenly spaced grid. Honeycomb grids are well-suited for approximating circular areas, making them suitable for mapping Singapore edges with irregular shape.
The code chunk below uses st_make_grid of sf package to create a hexagonal or honeycomb grid with a 375m (perpendicular distance between the center of hexagon and its edges) to represent the traffic analysis zone (TAZ). According the the R documentation, the cellsize is the distance between opposite edges, which is 2 times the perpendicular distance between the center of hexagon and its edges. Thus, for the purpose of this exercise, I will use cellsize of 750m and indicate the square=FALSE for hexagonal grid. After doing do, I will create a grid_id for each hexagonal grid (2,541 hexagonal grid).
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area_honeycomb_grid = st_make_grid(busstop, cellsize=750, what = "polygons", square = FALSE)
# To sf and add grid ID
honeycomb_grid_sf = st_sf(area_honeycomb_grid) %>%
# add grid ID
mutate(grid_id = 1:length(lengths(area_honeycomb_grid)))Next, I will change the data type of grid_id to factor and will only retain the hexagons with at least 1 bus stop in it.
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honeycomb_grid_sf$grid_id <- as.factor(honeycomb_grid_sf$grid_id)
honeycomb_grid_sf$busstop_count = lengths(st_intersects(honeycomb_grid_sf, busstop))
honeycomb_with_busstop = filter(honeycomb_grid_sf, busstop_count > 0)There are 834 hexagonal units with at least 1 busstop.
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summary(honeycomb_with_busstop$busstop_count) Min. 1st Qu. Median Mean 3rd Qu. Max.
1.000 3.000 6.000 6.169 9.000 19.000 Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.3)+
tm_shape(honeycomb_with_busstop%>% filter(busstop_count>0)) +
tm_borders() +
tm_fill("busstop_count", palette = "Blues",
title = "Bus Stop Count",
breaks= c(1,5,10,15,19),
legend.show = TRUE,
alpha=0.7) +
tm_view(set.zoom.limits =c(11,17))+
tm_layout(main.title = 'Bus Stop on Hexagonal Grid' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1)Show the code
tmap_mode("plot") Some hexagonal grids are highly packed with a maximum of 19 bus stops shown in dark blue color above like Bukit Panjang, Downtown Area and Sembawang.
7.3 Data Wrangling with Geospatial Data
In this section, I uses st_intersection() from sp package to overlap the bus stop points and hexagonal grids.
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busstop_honeycomb <- st_intersection(busstop, honeycomb_with_busstop) %>%
select(BUS_STOP_N, LOC_DESC, grid_id) %>%
st_drop_geometry()8 Build an OD Matrix of Commuter Flows for Weekends/Holiday Morning Peak Hour
In this section, I will construct a matrix for Origin and Destination with the Trips counts on each combinations.
First, I will append “ORIGIN_GRID_ID” and “ORIGIN_LOC_DESC” from busstop_honeycomb data frame onto odbus11_14 data frame using the code chunk below.
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od_data <- left_join(odbus11_14 , busstop_honeycomb,
by = c("ORIGIN_PT_CODE" = "BUS_STOP_N")) %>%
rename(ORIGIN_BS = ORIGIN_PT_CODE,
ORIGIN_GRID_ID = grid_id,
DESTIN_BS = DESTINATION_PT_CODE,
ORIGIN_LOC_DESC = LOC_DESC)Next, I will check for duplicated records on od_data using the chunk code below.
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duplicate_od_data <- od_data %>%
group_by_all() %>%
filter(n()>1) %>%
ungroup()The above code chunk shows that there are no duplicate record found.
Next, I will update od_data data frame by performing another left join with busstop_honeycomb to get the “DESTIN_GRID_ID” and “DESTIN_LOC_DESC”.
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od_data <- left_join(od_data , busstop_honeycomb,
by = c("DESTIN_BS" = "BUS_STOP_N")) %>%
rename(DESTIN_GRID_ID = grid_id,
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missing_values <- colSums(is.na(od_data))
# Print the columns with missing values
print(missing_values) ORIGIN_BS DESTIN_BS TRIPS ORIGIN_LOC_DESC ORIGIN_GRID_ID
0 0 0 2720 2199
DESTIN_LOC_DESC DESTIN_GRID_ID
2849 2257 The missing grid_id for origin and destination bus stop may be due to the outdated Bus Stop Location Data which is uploaded on July 2023 as compared to the Passenger Volume by Origin Destination Bus Stops data collected in October 2023.
So, I will remove the rows with NA (in total, now there are 216,644 records) and calculate the number of trips on weekends/holiday morning peak hour by using the group_by “ORIGIN_GRID_ID” and “DESTIN_GRID_ID” and sum all the trips between each combination of hexagonal grid ids using the code chunk below.
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od_data <- od_data %>%
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od_data1 <- od_data %>%
group_by(ORIGIN_GRID_ID, DESTIN_GRID_ID) %>%
summarise(MORNING_PEAK = sum(TRIPS))I will check the distribution of the Morning Peak trips using summary as shown below.
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summary(od_data1$MORNING_PEAK) Min. 1st Qu. Median Mean 3rd Qu. Max.
1 4 14 120 58 43418 I will save the output into an rds file format.
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write_rds(od_data, "data/rds/od_data.rds")Show the code
od_data <- read_rds("data/rds/od_data.rds")9 Computing Distance Matrix by Analytics Hexagon Level
First as.Spatial() from sp package will be used to convert honeycomb_with_busstop from sf tibble data frame to SpatialPolygonsDataFrame of sp object as shown in the code chunk below. This method is used because it is faster to compute distance matrix using sp than sf package.
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honeycomb_with_busstop_sp <- as(honeycomb_with_busstop, "Spatial")
honeycomb_with_busstop_spclass : SpatialPolygonsDataFrame
features : 834
extent : 3595.122, 48595.12, 26049.09, 53545.39 (xmin, xmax, ymin, ymax)
crs : +proj=tmerc +lat_0=1.36666666666667 +lon_0=103.833333333333 +k=1 +x_0=28001.642 +y_0=38744.572 +ellps=WGS84 +towgs84=0,0,0,0,0,0,0 +units=m +no_defs
variables : 2
names : grid_id, busstop_count
min values : 1001, 1
max values : 999, 19 Next, spDists() of sp package will be used to compute the Euclidean distance between the centroids of the hexagons. When longlat is set to FALSE, spDists will return a full matrix of distances in the metric of points. While longlat is set to TRUE, it will return in kilometers. In my case, since there are 834 hexagon, amtrix of 834 x 834 will be created and I will print out the first 8 rows using head().
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dist <- spDists(honeycomb_with_busstop_sp,
longlat = FALSE)
head(dist, n=c(8, 8)) [,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,] 0.000 750.000 3269.174 1500.000 2704.163 3968.627 1299.038 2250.000
[2,] 750.000 0.000 2598.076 750.000 1984.313 3269.174 750.000 1500.000
[3,] 3269.174 2598.076 0.000 1984.313 750.000 750.000 2704.163 1500.000
[4,] 1500.000 750.000 1984.313 0.000 1299.038 2598.076 750.000 750.000
[5,] 2704.163 1984.313 750.000 1299.038 0.000 1299.038 1984.313 750.000
[6,] 3968.627 3269.174 750.000 2598.076 1299.038 0.000 3269.174 1984.313
[7,] 1299.038 750.000 2704.163 750.000 1984.313 3269.174 0.000 1299.038
[8,] 2250.000 1500.000 1500.000 750.000 750.000 1984.313 1299.038 0.000From the matrix above, it is noticed that both the column and row headers are not labelled by grid_id. So, I label the headers by first creating a list sorted according to the distance matrix by grid_id and followed by attaching the grid_id to row and column for distance matrix matching.
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grid_id_desc <- honeycomb_with_busstop$grid_id
colnames(dist) <- paste0(grid_id_desc)
rownames(dist) <- paste0(grid_id_desc)
head(dist, n=c(8,8)) 23 44 46 66 67 68 86 87
23 0.000 750.000 3269.174 1500.000 2704.163 3968.627 1299.038 2250.000
44 750.000 0.000 2598.076 750.000 1984.313 3269.174 750.000 1500.000
46 3269.174 2598.076 0.000 1984.313 750.000 750.000 2704.163 1500.000
66 1500.000 750.000 1984.313 0.000 1299.038 2598.076 750.000 750.000
67 2704.163 1984.313 750.000 1299.038 0.000 1299.038 1984.313 750.000
68 3968.627 3269.174 750.000 2598.076 1299.038 0.000 3269.174 1984.313
86 1299.038 750.000 2704.163 750.000 1984.313 3269.174 0.000 1299.038
87 2250.000 1500.000 1500.000 750.000 750.000 1984.313 1299.038 0.000Next, I will pivot the distance matrix into a long table by using the row and column grid_id using melt() of reshape2 package to convert wide-format data to long-format data.
For reference : https://www.statology.org/long-vs-wide-data/
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distPair <- melt(dist) %>%
rename(dist = value)
head(distPair, 10) Var1 Var2 dist
1 23 23 0.000
2 44 23 750.000
3 46 23 3269.174
4 66 23 1500.000
5 67 23 2704.163
6 68 23 3968.627
7 86 23 1299.038
8 87 23 2250.000
9 88 23 3436.932
10 89 23 4683.748There are 695556 rows of distPair as the number of possible pair of hexagon permutations.
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summary(distPair$dist) Min. 1st Qu. Median Mean 3rd Qu. Max.
0 8250 13332 14145 18929 44680 From the summary of “dist” above, it is noticed that there are 0 distance, this refer to intra-zonal distance meaning that the trips are taken on the same grid id.
Next, I will rename var1 and var 2 into origin and destination grid_id.
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distPair <- distPair %>%
rename(ORIGIN_GRID_ID = Var1,
DESTIN_GRID_ID = Var2)10 Preparing Flow Data
In this section, I will rename my od_data1 to flow_data.
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flow_data <- od_data1
print(head(flow_data))# A tibble: 6 × 3
# Groups: ORIGIN_GRID_ID [2]
ORIGIN_GRID_ID DESTIN_GRID_ID MORNING_PEAK
<fct> <fct> <dbl>
1 44 128 4
2 44 129 2
3 44 175 20
4 46 67 2
5 46 111 6
6 46 134 7310.1 Separating Intra-Flow and Inter-Flow
The code chunk below is used to add a new field in flow_data dataframe.
- ‘isinter’ : 0 for intra-zonal flow and MORNING_PEAK for inter-zonal flow
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flow_data$isinter <- ifelse(
flow_data$ORIGIN_GRID_ID == flow_data$DESTIN_GRID_ID,
0, flow_data$MORNING_PEAK)I will create 2 separate data frames for intra and inter zonal flow.
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intra_zonal_flow <- flow_data %>%
filter(isinter ==0)
inter_zonal_flow <- flow_data %>%
filter(isinter >0)From a total of 62176 flow data, there are 568 intra-zonal flow and 61,608 inter-zonal flow.
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intra_zonal_flow# A tibble: 568 × 4
# Groups: ORIGIN_GRID_ID [568]
ORIGIN_GRID_ID DESTIN_GRID_ID MORNING_PEAK isinter
<fct> <fct> <dbl> <dbl>
1 111 111 1 0
2 133 133 4 0
3 150 150 1 0
4 154 154 9 0
5 175 175 8 0
6 176 176 13 0
7 216 216 19 0
8 217 217 13 0
9 237 237 1 0
10 278 278 1 0
# ℹ 558 more rowsShow the code
inter_zonal_flow# A tibble: 61,608 × 4
# Groups: ORIGIN_GRID_ID [821]
ORIGIN_GRID_ID DESTIN_GRID_ID MORNING_PEAK isinter
<fct> <fct> <dbl> <dbl>
1 44 128 4 4
2 44 129 2 2
3 44 175 20 20
4 46 67 2 2
5 46 111 6 6
6 46 134 73 73
7 46 155 12 12
8 46 406 35 35
9 66 44 2 2
10 66 134 1 1
# ℹ 61,598 more rows10.2 Combining Passenger Volume Data (Inter-Zonal Flow Data) with Distance Value
Before we can join “inter_zonal_flow” and “distPair”, I will convert data value type of ORIGIN_GRID_ID and DESTIN_GRID_ID fields of distPair into factor data type.
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distPair$ORIGIN_GRID_ID <- as.factor(distPair$ORIGIN_GRID_ID)
distPair$DESTIN_GRID_ID <- as.factor(distPair$DESTIN_GRID_ID )Now, left_join() of dplyr will be used to combine “inter_zonal_flow” dataframe and distPair dataframe. The output is called flow_data1.
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flow_data1 <- inter_zonal_flow %>%
left_join (distPair,
by = c("ORIGIN_GRID_ID" = "ORIGIN_GRID_ID",
"DESTIN_GRID_ID" = "DESTIN_GRID_ID"))
print(head(flow_data1))# A tibble: 6 × 5
# Groups: ORIGIN_GRID_ID [2]
ORIGIN_GRID_ID DESTIN_GRID_ID MORNING_PEAK isinter dist
<fct> <fct> <dbl> <dbl> <dbl>
1 44 128 4 4 1500
2 44 129 2 2 1984.
3 44 175 20 20 6874.
4 46 67 2 2 750.
5 46 111 6 6 2250.
6 46 134 73 73 5408.11 Visualising O-D Flows of Weekends/Holiday Morning Peak Hour
In this section, I will create a desire line of inter-zonal flow (flow_data1) by using od2line of stplanr package.
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flowLine <- od2line(flow = flow_data1, zones = honeycomb_with_busstop, zone_code = "grid_id") To visualise the resulting desire lines, the code chunk below is used. In the map below, I have filtered out the trips of less than 5000 for my analysis. Thicker line width refers to the flow with more trips while the length of the desire lines refers to the distance of each inter-zonal flow.
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tmap_options(check.and.fix = TRUE)
tmap_mode("plot")
tm_shape(mpsz)+
tm_polygons(alpha=0.5)+
#tm_text(text = "SUBZONE_N", size = 0.2) +
tm_shape(honeycomb_with_busstop) +
tm_polygons(col = "lightblue", alpha=0.5) +
flowLine %>% filter(MORNING_PEAK >= 5000) %>%
tm_shape() +
tm_lines(lwd = "MORNING_PEAK",
style = "quantile",
scale = c(0.5, 2, 4, 6, 8, 10, 12),
n = 6,
alpha = 0.3,
col="red")+
tm_layout(main.title = 'Static Map: OD Flow On Weekends/Holiday Morning Peak Hour' ,
main.title.position = "center",
main.title.size = 1.0,
legend.width=1)
From the map above, I observed a noticeable concentration of public bus flow in the Woodlands Area and Johor Bahru (hexagon outside of Singapore boundary) as indicated by a thick bank extending between the two for weekends/holiday morning peak hour. We will further analyse whether the flow is from Singapore or from Johor Bahru.
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flowLine %>% filter(MORNING_PEAK >= 30000)Simple feature collection with 2 features and 5 fields
Geometry type: LINESTRING
Dimension: XY
Bounding box: xmin: 20470.12 ymin: 47266.71 xmax: 20845.12 ymax: 49215.27
Projected CRS: SVY21 / Singapore TM
ORIGIN_GRID_ID DESTIN_GRID_ID MORNING_PEAK isinter dist
1 962 984 43418 43418 1984.313
2 984 983 31087 31087 1299.038
geometry
1 LINESTRING (20470.12 47266....
2 LINESTRING (20845.12 49215....The public bus flow suggest that the predominant movement is from Woodlands Checkpoint to Johor Bahru Checkpoint with around 43k trips. The flow from Johor Bahru Checkpoint to Singapore is also comparably high with around 31k trips. This public bus commuter flow could be attributed to individuals engaging in leisure activities, entertainment, tourism, family/friend visit in Johor/Singapore, some even take advantage of cost-effective grocery shopping in Johor.
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summary((flowLine %>% filter(MORNING_PEAK >= 5000))$dist) Min. 1st Qu. Median Mean 3rd Qu. Max.
750 750 750 1056 1299 2704 Furthermore, I observed that during weekend morning, the predominant public bus flow spans a relatively short distance with a maximum of 2.7 kilometers. This phenomenon may be attributed to the fact that weekends are typically considered rest days, leading to shorter commutes or more localized activities within a confined radius. Alternatively, individuals may opt for different modes of transport like MRT longer transfers. In the view of activities in confined radius, I will also analyse intra-zonal flows.
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intra_flow_map <- honeycomb_with_busstop %>%
inner_join(intra_zonal_flow, by = c("grid_id" = "ORIGIN_GRID_ID")) %>%
select("grid_id","MORNING_PEAK","busstop_count","area_honeycomb_grid")Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.5)+
tm_shape(intra_flow_map) +
tm_borders() +
tm_fill("MORNING_PEAK", palette = "Blues",
title = "Morning Peak",
breaks= c(1,1000,5000,8000,11000,14500),
legend.show = TRUE,
popup.vars = c("Trips Count"="MORNING_PEAK",
"Bus Stop Count"="busstop_count"
)) +
tm_view(set.zoom.limits =c(11,17))+
tm_layout(main.title = 'Intra Flow On Weekends/Holiday Morning Peak Hour' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1)Show the code
tmap_mode("plot") From the map above, the intra public bus flow occurs in the vicinity of Admiralty Int, and along Bukit Merah and Tiong Bahru Area. This suggested that there is a significant volume occurring within a short distance in the specified areas.
The below code chunk is for the interactive maps to get more insights.
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tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.5)+
tm_shape(honeycomb_with_busstop) +
tm_polygons(col = "lightblue", alpha=0.5) +
flowLine %>% filter(MORNING_PEAK >= 5000) %>%
tm_shape() +
tm_lines(lwd = "MORNING_PEAK",
style = "quantile",
scale = c(2, 6, 8, 10, 8, 12, 14),
n = 6,
alpha = 0.3,
col="red",
popup.vars=c("Trips Count" ="MORNING_PEAK"))+
tm_view(set.zoom.limits =c(11,17))+
tm_layout(main.title = 'Static Map: OD Flow On Weekends/Holiday Morning Peak Hour' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold')From the map above, I also noticed that there are some great volume to hexagonal grid with bus interchanges or MRT/LRT stations such as Boonlay, Choa Chu Kang, Bukit Panjang, Yee Tew, Clementi, Bishan, Ang Mo Kio, Serangoon, Toa Payoh, Sengkang, Bedok, Tampines, Pasir Ris, which can be one of the factor to be considered for my Spatial Interaction Model later on.
12 Assemble Propulsive(Origin) and Attractiveness(Destination) Variables for Spatial Interaction Model
12.1 Aspatial Data 1 : School Location
First, I will import the School General Information in csv format which is downloaded from data.gov.sg for School Directory and Information. This dataset consist of school name and postal code for MOE Kindergartens, Primary Schools, Secondary Schools, Junior College, Mixed Levels and Centralized Institute for pre-university. In total, there are 346 records. Since the data set does not include polytechnics and ITE, I will collate the information from moe.gov.sg. Currently, there are 8 polytechnics/ITE. Next, I will merge the 2 dasasets and so in total there are 354 schools.
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school <- read_csv("data/aspatial/Generalinformationofschools.csv")
poly_ite <- read_csv("data/aspatial/poly_ite.csv")
poly_ite <- poly_ite %>%
rename(school_name = poly_ite_name) %>%
mutate(postal_code = as.character(postal_code))
merged_school <- bind_rows(school, poly_ite)Next, I will use OneMap API to geocode the school locations by retriving the longitude and latitude coordinates using the postal_code field.
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url <- "https://www.onemap.gov.sg/api/common/elastic/search"
postcodes <- merged_school$'postal_code'
found <- data.frame()
not_found <- data.frame()
for (postcode in postcodes){
query <- list('searchVal'=postcode,'returnGeom'='Y','getAddrDetails'='Y','pageNum'='1')
res<-GET(url, query=query)
if((content(res)$found)!=0){
found <-rbind(found, data.frame(content(res))[4:13])
} else{
not_found = data.frame(postcode)
}
}
merged = merge(merged_school, found, by.x='postal_code', by.y='results.POSTAL', all=TRUE)It is noticed that the number of rows are increasing, there may be duplicated rows and upon checking, there are 8 duplicated rows so I will remove the duplicated rows.
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duplicate_school <- merged %>%
group_by_all() %>%
filter(n()>1) %>%
ungroup()Show the code
merged <- merged %>%
distinct(across(everything()), .keep_all = TRUE)Then , I will check wehther there is any postal code that cannot be geocode using the code chunk below.
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not_foundThere is 1 postal code that cannot be geocode which is 677741. In this case, I will manually extract the longitude (103.7651) and latitude(1.389279) for this specific postal code and fill the NA values with the code chunk below
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merged <- merged %>%
mutate(results.LATITUDE = ifelse(postal_code == "677741", 1.389279, results.LATITUDE)) %>%
mutate(results.LONGITUDE = ifelse(postal_code == "677741", 103.7651, results.LONGITUDE))I will then write the merged file into a csv file.
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write.csv (merged, file='data/aspatial/schools.csv')
write.csv (not_found, file ='data/aspatial/not_found.csv')Next, I will import the schools final data set and tidy it up (i.e. renaming the column headers) and only extract necessary fields using the code chunk below.
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schools <- read_csv("data/aspatial/schools.csv") %>%
rename(latitude='results.LATITUDE', longitude='results.LONGITUDE')%>%
select(postal_code, school_name, latitude,longitude)Then, I will convert the school coordinates into Singapore Projected Coordinate System SVY21 after converting to sf object.
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schools_sf <- st_as_sf(schools,
coords=c('longitude', 'latitude'),
crs=4326) %>%
st_transform(crs=3414)After that, I will count the number of schools in each heaxgon using the st_intersects() of sp package.
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honeycomb_with_busstop$'SCHOOL_COUNT' <- lengths(st_intersects(honeycomb_with_busstop, schools_sf))Next, I will check the school_count distributions using summary().
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summary(honeycomb_with_busstop$SCHOOL_COUNT) Min. 1st Qu. Median Mean 3rd Qu. Max.
0.0000 0.0000 0.0000 0.4185 1.0000 4.0000 Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.3)+
tm_shape(honeycomb_with_busstop%>% filter(SCHOOL_COUNT>0)) +
tm_borders() +
tm_fill("SCHOOL_COUNT", palette = "Blues",
title = "School Count",
breaks= c(1,2,3,4,4),
legend.show = TRUE,
alpha=0.7) +
tm_view(set.zoom.limits =c(11,14))+
tm_layout(main.title = 'SCHOOL COUNT on Hexagonal Grid' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1)Show the code
tmap_mode("plot") From the above map, it is noticeable that schools are spread across Singapore and some area like Punggol, Sengkang have more schools as compared to other areas and the CBD and Tuas area has fewer schools.
12.2 Aspatial Data 2 : HDB Location
I will import the hdb in csv format provided and collated by Prof. Kam. This data set is the geocoded version of HDB Property Information data from Data.gov.sg. The data set is prepared using September 2021 data, consisting of 12,442 records with 37 columns.
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hdb <- read_csv("data/aspatial/hdb.csv")Next, I will convert the longitude and latitude from WSG84 to Singapore Projected Coordinate System SVY21 using st_transform().
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hdb_sf <- st_as_sf(hdb,
coords=c('lng', 'lat'),
crs=4326) %>%
st_transform(crs=3414)Next, I will check for duplicated hdb.
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duplicate_hdb <- hdb_sf %>%
group_by(blk_no,street) %>%
filter(n()>1) %>%
ungroup()There are no duplicated hdb, so next, I will count the dwelling units in each hexagonal grid.
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dwelling_units_count <- st_intersection(honeycomb_with_busstop, hdb_sf) %>%
group_by(grid_id) %>%
summarise(HDB_DWELLING_UNIT=sum(total_dwelling_units)) %>%
st_drop_geometry()Show the code
honeycomb_with_busstop = left_join(honeycomb_with_busstop, dwelling_units_count)Next, I will check the distribution of dwelling units in Singapore.
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summary(honeycomb_with_busstop$HDB_DWELLING_UNIT) Min. 1st Qu. Median Mean 3rd Qu. Max. NA's
0 955 2364 2727 4077 7946 436 Next, I will NA with 0, meaning there is the hexagonal grid is not a residential area.
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honeycomb_with_busstop <- honeycomb_with_busstop %>%
mutate(HDB_DWELLING_UNIT = replace_na(HDB_DWELLING_UNIT, 0))Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.3)+
tm_shape(honeycomb_with_busstop%>% filter(HDB_DWELLING_UNIT>0)) +
tm_borders() +
tm_fill("HDB_DWELLING_UNIT", palette = "Blues",
title = "HDB Dwelling Units Count",
breaks= c(1,1000,2000,4000,6000,7946),
legend.show = TRUE,
alpha=0.7) +
tm_view(set.zoom.limits =c(11,14))+
tm_layout(main.title = 'HDB Dwelling Units on Hexagonal Grid' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1)Show the code
tmap_mode("plot") From the map above, the HDB spread across Singapore with high concentration on Punggol, Sengkang, Tampine, Bedok, Woodlands, Yishun, Choa Chu Kang, Jurong West.
12.3 Geospatial Data 1 : Business
This business data is curated by Prof. Kam, consisting locations of business establishments in Singapore. It consists of 6,550 point coordinates of business location in Singapore. The shapefile is already in SVY21 form so there is no need to do st_transform().
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business_sf <- st_read(dsn="data/geospatial", layer="Business")Reading layer `Business' from data source
`W:\widyayutika\ISSS624\Take-home_Exercise\Take-home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 6550 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 3669.148 ymin: 25408.41 xmax: 47034.83 ymax: 50148.54
Projected CRS: SVY21 / Singapore TMNext, I will check for duplicated business.
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duplicate_business <- business_sf %>%
group_by_all() %>%
filter(n()>1) %>%
ungroup()Apparently there are 2 duplicate businesses, so I will remove the duplicated records and keep the first occurrence.
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business_sf<- unique(business_sf)Next, I will count the number of businesses in each hexagonal grid.
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honeycomb_with_busstop$'BUSINESS_COUNT' <- lengths(st_intersects(honeycomb_with_busstop, business_sf))Next, I will check the distribution of BUSINESS_COUNT.
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summary(honeycomb_with_busstop$'BUSINESS_COUNT') Min. 1st Qu. Median Mean 3rd Qu. Max.
0.000 0.000 1.000 7.272 7.000 97.000 Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.3)+
tm_shape(honeycomb_with_busstop%>% filter(BUSINESS_COUNT>0)) +
tm_borders() +
tm_fill("BUSINESS_COUNT", palette = "Blues",
title = "Business Count",
breaks= c(1,10,20,30,50,97),
legend.show = TRUE,
alpha=0.7) +
tm_view(set.zoom.limits =c(11,14))+
tm_layout(main.title = 'BUSINESS COUNT on Hexagonal Grid' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1)Show the code
tmap_mode("plot") From the map above, for business, it is observed that certain regions especially industrial area like Jurong West to Tuas Area, Woodlands Industrial Area, Kaki Bukit Industrial Estate, Loyang Industrial Estate, exhibits a higher concentration of businesses. The CBD/ Downtown area also has high number of businesses as it is the main commercial area in Singapore.
12.4 Geospatial Data 2 : Entertainment
This entertainment data is curated by Prof. Kam, consisting of 114 point coordinates of entertainment area like cinema, theatre, art centers in Singapore. The shapefile is already in SVY21 form so there is no need to do st_transform().
Show the code
entertainment_sf <- st_read(dsn="data/geospatial", layer="entertn")Reading layer `entertn' from data source
`W:\widyayutika\ISSS624\Take-home_Exercise\Take-home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 114 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 10809.34 ymin: 26528.63 xmax: 41600.62 ymax: 46375.77
Projected CRS: SVY21 / Singapore TMNext, I will check for duplicated entertainment.
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duplicate_entertn <- entertainment_sf %>%
group_by_all() %>%
filter(n()>1) %>%
ungroup()Apparently there are 2 duplicate entertainments, so I will remove the duplicated records and keep the first occurrence.
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entertainment_sf<- unique(entertainment_sf)Next, I will count the number of entertainments in each hexagonal grid.
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honeycomb_with_busstop$'ENTERTAINMENT_COUNT' <- lengths(st_intersects(honeycomb_with_busstop, entertainment_sf))Next, I will check the distribution of ENTERTAINMENT_COUNT.
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summary(honeycomb_with_busstop$'ENTERTAINMENT_COUNT') Min. 1st Qu. Median Mean 3rd Qu. Max.
0.0000 0.0000 0.0000 0.1319 0.0000 9.0000 Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.3)+
tm_shape(honeycomb_with_busstop%>% filter(ENTERTAINMENT_COUNT>0)) +
tm_borders() +
tm_fill("ENTERTAINMENT_COUNT", palette = "Blues",
title = "Entertainment Count",
breaks= c(1,3,5,7,9),
legend.show = TRUE,
alpha=0.7) +
tm_view(set.zoom.limits =c(11,14))+
tm_layout(main.title = 'ENTERTAINMENT COUNT on Hexagonal Grid' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1)Show the code
tmap_mode("plot") From the map above, it is observed that CBD area especially city hall to bugis area exhibits a higher concentration of entertainment in Singapore.
12.5 Geospatial Data 3 : F&B
This F&B data is curated by Prof. Kam, consisting of 1,919 point coordinates of F&B area like cafe, restaurant, bar, club, karaoke, pub in Singapore. The shapefile is already in SVY21 form so there is no need to do st_transform().
Show the code
fnb_sf <- st_read(dsn="data/geospatial", layer="F&B")Reading layer `F&B' from data source
`W:\widyayutika\ISSS624\Take-home_Exercise\Take-home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 1919 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 6010.495 ymin: 25343.27 xmax: 45462.43 ymax: 48796.21
Projected CRS: SVY21 / Singapore TMNext, I will check for duplicated F&B.
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duplicate_fnb <- fnb_sf %>%
group_by_all() %>%
filter(n()>1) %>%
ungroup()There are no duplicated F&B so next, I will count the number of F&B in each hexagonal grid.
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honeycomb_with_busstop$'FNB_COUNT' <- lengths(st_intersects(honeycomb_with_busstop, fnb_sf))Next, I will check the distribution of FNB_COUNT.
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summary(honeycomb_with_busstop$'FNB_COUNT') Min. 1st Qu. Median Mean 3rd Qu. Max.
0.000 0.000 0.000 2.204 1.000 133.000 Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.3)+
tm_shape(honeycomb_with_busstop%>%
filter(FNB_COUNT>0)) +
tm_borders() +
tm_fill("FNB_COUNT",
palette = "Blues",
title = "FNB Count",
breaks= c(1,10,20,30,50,70,100,133),
legend.show = TRUE,
alpha=0.7) +
tm_view(set.zoom.limits =c(11,14))+
tm_layout(main.title = 'FNB COUNT on Hexagonal Grid' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1) Show the code
tmap_mode("plot") From the map above, similar to entertainment, it is observed that CBD area especially tanjong pagar to bugis area exhibits a higher concentration of F&Bin Singapore.
12.6 Geospatial Data 4 : Financial Service
This Financial Service data is curated by Prof. Kam, consisting ]of 3,320 point coordinates of financial service area like bank, money changer in Singapore. The shapefile is already in SVY21 form so there is no need to do st_transform().
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finserv_sf <- st_read(dsn="data/geospatial", layer="FinServ")Reading layer `FinServ' from data source
`W:\widyayutika\ISSS624\Take-home_Exercise\Take-home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 3320 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 4881.527 ymin: 25171.88 xmax: 46526.16 ymax: 49338.02
Projected CRS: SVY21 / Singapore TMNext, I will check for duplicated financial services.
Show the code
duplicate_finserv <- finserv_sf %>%
group_by_all() %>%
filter(n()>1) %>%
ungroup()Apparently there are 524 duplicate financial services, so I will remove the duplicated records and keep the first occurrence. So, in total there are 3,058 financial services.
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finserv_sf<- unique(finserv_sf)Next, I will count the number of financial services in each hexagonal grid.
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honeycomb_with_busstop$'FINSERV_COUNT' <- lengths(st_intersects(honeycomb_with_busstop, finserv_sf))Next, I will check the distribution of FINSERV_COUNT.
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summary(honeycomb_with_busstop$'FINSERV_COUNT') Min. 1st Qu. Median Mean 3rd Qu. Max.
0.000 0.000 1.000 3.613 4.000 130.000 Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.3)+
tm_shape(honeycomb_with_busstop%>%
filter(FINSERV_COUNT>0)) +
tm_borders() +
tm_fill("FINSERV_COUNT",
palette = "Blues",
title = "Financial Service Count",
breaks= c(1,10,20,30,50,70,100,133),
legend.show = TRUE,
alpha=0.7) +
tm_view(set.zoom.limits =c(11,14))+
tm_layout(main.title = 'Financial Service COUNT on Hexagonal Grid' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1) Show the code
tmap_mode("plot") From the map above, similar to f&b, it is observed that CBD area especially Tanjong Pagar to Bugis area exhibits a higher concentration of Financial Services in Singapore.
12.7 Geospatial Data 5 : Leisure and Recreation
This Leisure and Recreation data is curated by Prof. Kam, consisting of 1,217 point coordinates of Leisure and Recreation area like gallery, museum, sport center, park, fitness, playground, studio in Singapore. The shapefile is already in SVY21 form so there is no need to do st_transform().
Show the code
lei_rec_sf <- st_read(dsn="data/geospatial", layer="Liesure&Recreation")Reading layer `Liesure&Recreation' from data source
`W:\widyayutika\ISSS624\Take-home_Exercise\Take-home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 1217 features and 30 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 6010.495 ymin: 25134.28 xmax: 48439.77 ymax: 50078.88
Projected CRS: SVY21 / Singapore TMNext, I will check for duplicated Leisure and Recreation.
Show the code
duplicate_lei_rec <- lei_rec_sf %>%
group_by_all() %>%
filter(n()>1) %>%
ungroup()There is no duplicated Leisure and Recreation so next, I will count the number of Leisure and Recreation in each hexagonal grid.
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honeycomb_with_busstop$'LEIREC_COUNT' <- lengths(st_intersects(honeycomb_with_busstop, lei_rec_sf))Next, I will check the distribution of LEIREC_COUNT.
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summary(honeycomb_with_busstop$'LEIREC_COUNT') Min. 1st Qu. Median Mean 3rd Qu. Max.
0.000 0.000 0.000 1.307 1.000 41.000 Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.3)+
tm_shape(honeycomb_with_busstop%>%
filter(LEIREC_COUNT>0)) +
tm_borders() +
tm_fill("LEIREC_COUNT",
palette = "Blues",
title = "Leisure and Recreation Count",
breaks= c(1,10,20,30,41),
legend.show = TRUE,
alpha=0.7) +
tm_view(set.zoom.limits =c(11,14))+
tm_layout(main.title = 'Leisure and Recreation Count on Hexagonal Grid' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1) Show the code
tmap_mode("plot") From the map above, it is observed that Downtown area exhibits a higher concentration of Leisure and Recreation in Singapore.
12.8 Geospatial Data 6 : Retails
This Retails data is curated by Prof. Kam, consisting of 37,635 point coordinates of Retails area like retail shops in Singapore. The shapefile is already in SVY21 form so there is no need to do st_transform().
Show the code
retail_sf <- st_read(dsn="data/geospatial", layer="Retails")Reading layer `Retails' from data source
`W:\widyayutika\ISSS624\Take-home_Exercise\Take-home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 37635 features and 3 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 4737.982 ymin: 25171.88 xmax: 48265.04 ymax: 50135.28
Projected CRS: SVY21 / Singapore TMNext, I will check for duplicated Retails.
Show the code
duplicate_retail <- retail_sf %>%
group_by_all() %>%
filter(n()>1) %>%
ungroup()Apparently there are 347 duplicate Retails, so I will remove the duplicated records and keep the first occurrence. So, in total there are 37,460 Retails.
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retail_sf<- unique(retail_sf)Next, I will count the number of Retails in each hexagonal grid.
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honeycomb_with_busstop$'RETAILS_COUNT' <- lengths(st_intersects(honeycomb_with_busstop, retail_sf))Next, I will check the distribution of RETAILS_COUNT.
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summary(honeycomb_with_busstop$'RETAILS_COUNT') Min. 1st Qu. Median Mean 3rd Qu. Max.
0.00 1.00 8.00 43.83 36.00 1669.00 Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.3)+
tm_shape(honeycomb_with_busstop%>% filter(RETAILS_COUNT>0)) +
tm_borders() +
tm_fill("RETAILS_COUNT",
palette = "Blues",
title = "Retails Count", breaks= c(1,100,500,1000,1500,1669),
legend.show = TRUE,
alpha=0.7) +
tm_view(set.zoom.limits =c(11,14))+
tm_layout(main.title = 'Retails Count on Hexagonal Grid' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1) Show the code
tmap_mode("plot") From the map above, it is observed that Bugis area exhibits a higher concentration of Retails in Singapore.
12.9 Geospatial Data 7: MRT Station EXIT
This MRT Station Exit data is downloaded from LTA DataMall, consisting of 565 point coordinates of MRT Exits in Singapore. Then, I use st_transform of sp package to convert coordinates to EPSG code of 3414 for SVY21 (projected coordinate system for Singapore).
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MRT_exit_sf <- st_read(dsn="data/geospatial", layer="Train_Station_Exit_Layer") %>%
st_transform(crs = 3414)Reading layer `Train_Station_Exit_Layer' from data source
`W:\widyayutika\ISSS624\Take-home_Exercise\Take-home_Ex2\data\geospatial'
using driver `ESRI Shapefile'
Simple feature collection with 565 features and 2 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: 6134.086 ymin: 27499.7 xmax: 45356.36 ymax: 47865.92
Projected CRS: SVY21Next, I will check for duplicated MRT Exits.
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duplicate_MRT_exit <- MRT_exit_sf %>%
group_by(stn_name,exit_code) %>%
filter(n()>1) %>%
ungroup()Apparently there are 17 duplicate MRT Exits, so I will remove the duplicated records and keep the first occurrence. So, in total there are 556 MRT Exits.
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MRT_exit_sf<- MRT_exit_sf %>%
distinct(stn_name, exit_code, .keep_all=TRUE)Next, I will count the number of MRT Exits in each hexagonal grid.
Show the code
honeycomb_with_busstop$'MRT_EXIT_COUNT' <- lengths(st_intersects(honeycomb_with_busstop, MRT_exit_sf))Next, I will check the distribution of MRT Exits.
Show the code
summary(honeycomb_with_busstop$'MRT_EXIT_COUNT') Min. 1st Qu. Median Mean 3rd Qu. Max.
0.0000 0.0000 0.0000 0.6619 0.0000 13.0000 Show the code
tmap_options(check.and.fix = TRUE)
tmap_mode("view")
tm_shape(mpsz)+
tm_polygons(alpha=0.3)+
tm_shape(honeycomb_with_busstop%>% filter(MRT_EXIT_COUNT>0)) +
tm_borders() +
tm_fill("MRT_EXIT_COUNT",
palette = "Blues",
title = "MRT Exit Count", breaks= c(1,4,7,10,13),
legend.show = TRUE,
alpha=0.7) +
tm_view(set.zoom.limits =c(11,14))+
tm_layout(main.title = 'MRT Exits Count on Hexagonal Grid' ,
main.title.position = "center",
main.title.size = 1.0,
main.title.fontface = 'bold',
legend.width=1) Show the code
tmap_mode("plot") From the map above, it is observed that Downtown area exhibits a higher concentration of MRT Exits with a maximum of 13.
13 Flow_Data_Tidy
In this section, I will append all propulsive(origin) and attraction(destination) variables to my flow_data1 and create new df flow_data_tidy.
I will tidy up flow_data1.
Show the code
flow_data1 <- flow_data1 %>%
select(c("ORIGIN_GRID_ID","DESTIN_GRID_ID",
"MORNING_PEAK", "dist"))Show the code
flow_data_tidy <- flow_data1 %>%
left_join(honeycomb_with_busstop,
by = c('ORIGIN_GRID_ID' = 'grid_id')) %>%
rename(ORIGIN_SCHOOL_COUNT=SCHOOL_COUNT,
ORIGIN_HDB_DWELLING_UNIT=HDB_DWELLING_UNIT,
ORIGIN_BUSINESS_COUNT=BUSINESS_COUNT,
ORIGIN_ENTERTAINMENT_COUNT=ENTERTAINMENT_COUNT,
ORIGIN_FNB_COUNT=FNB_COUNT,
ORIGIN_FINSERV_COUNT=FINSERV_COUNT,
ORIGIN_LEIREC_COUNT=LEIREC_COUNT,
ORIGIN_RETAILS_COUNT=RETAILS_COUNT,
ORIGIN_MRT_EXIT_COUNT=MRT_EXIT_COUNT)%>%
select(-c(busstop_count,area_honeycomb_grid))
flow_data_tidy <- flow_data_tidy %>%
left_join(honeycomb_with_busstop,
by = c('DESTIN_GRID_ID' = 'grid_id')) %>%
rename(DESTIN_SCHOOL_COUNT=SCHOOL_COUNT,
DESTIN_HDB_DWELLING_UNIT=HDB_DWELLING_UNIT,
DESTIN_BUSINESS_COUNT=BUSINESS_COUNT,
DESTIN_ENTERTAINMENT_COUNT=ENTERTAINMENT_COUNT,
DESTIN_FNB_COUNT=FNB_COUNT,
DESTIN_FINSERV_COUNT=FINSERV_COUNT,
DESTIN_LEIREC_COUNT=LEIREC_COUNT,
DESTIN_RETAILS_COUNT=RETAILS_COUNT,
DESTIN_MRT_EXIT_COUNT=MRT_EXIT_COUNT)%>%
select(-c(busstop_count,area_honeycomb_grid))I will write flow_data_tidy into local disk.
Show the code
write_rds(flow_data_tidy,"data/rds/flow_data_tidy.rds")14 Calibrating Spatial Interaction Models
In this section, I will calibrate Spatial Interaction Models by using log based Poisson Regression Gravity Model using glm() function. Ther e are 4 components in the models:
Number of Trips (MORNING_PEAK), as the target variable of the model
Distance. The underlying idea is that the longer the distance, the less appealing the journey is.
Attractiveness Variables, as factors that lead bus passengers to disembark at particular bus stop
Propulsiveness Variables, as factors that lead bus passengers to board from particular bus stop
There are several reasons why Poisson Regression is chosen as follows:
My dependent variable , MORNING_PEAK represent count of trips making it suitable for a count-base model like Poisson Regression which is a type of generalised linear model (GLM) designed for count data
My dependent variables only takes positive values and the concept of negative counts is not meaning, so Poisson regression is preferable over linear regression which allows for negative values.
the choice of Poisson regression is supported by the consideration that residuals may exhibit an asymmetric distribution around the mean. In other words, outcomes on either side of the mean are not equally likely, emphasizing the need for a model that accommodates such characteristics. Therefore, Poisson regression emerges as a sensible and statistically appropriate choice for capturing the unique nature of our count-based and positively constrained MORNIGN_PEAK variable.
14.1 Importing the Modelling Data
First, I will import the flow_data_tidy back into R.
flow_data_tidy <- read_rds("data/rds/flow_data_tidy.rds")14.2 Visualising the Dependent Variables
14.2.1 Distribution of Weekends/Holiday Morning Peak Trips
ggplot(data = flow_data_tidy,
aes(x = MORNING_PEAK)) +
geom_histogram(fill="lightblue")+
labs(y= "Count of Trips", x= "Trips")+
ggtitle("Distribution of Weekends/Holiday Morning Peak Trips")
From the above plot, it is noted that the distribution of weekends/holiday morning peak hour is highly skewed to the right.
Next, I will visualize the relation between dependent variable and one of the key independent variable in Spatial Interaction Model which is distance
14.2.2 Trips vs Distance
ggplot(data = flow_data_tidy,
aes(x = dist,
y = MORNING_PEAK)) +
geom_point() +
geom_smooth(method = lm)+
labs(y= 'MORNING_PEAK', x='dist') +
ggtitle('Relationship between MORNING_PEAK Trips and Distance')
It is noticed that the relationship hardly resemble linear relationship. I will try to plot the scatter plot again using the log transformed of both variables and whether I can get a more linear relationship.
14.2.3 Log(Morning Peak Trips) vs Log(Distance)
ggplot(data = flow_data_tidy,
aes(x = log(dist),
y = log(MORNING_PEAK))) +
geom_point() +
geom_smooth(method = lm)+
labs(y= 'log(MORNING_PEAK)', x='log(dist)') +
ggtitle('Relationship between log(MORNING_PEAK Trips) and log(Distance)')
From the scatter plot above, I can see that the relationship is more resemble linear relationship.
14.3 Checking for Variables with Zero Values
Since Poisson Regression is based on log and log 0 is undefined, it is important to ensure that there are no 0 value in the explanatory variables.
summary(flow_data_tidy) ORIGIN_GRID_ID DESTIN_GRID_ID MORNING_PEAK dist
1474 : 319 1474 : 317 Min. : 1.0 Min. : 750
1960 : 299 1516 : 305 1st Qu.: 4.0 1st Qu.: 3000
1496 : 292 1960 : 301 Median : 14.0 Median : 5408
1477 : 288 1496 : 299 Mean : 116.3 Mean : 6280
1431 : 278 1477 : 291 3rd Qu.: 56.0 3rd Qu.: 8649
1749 : 277 1370 : 281 Max. :43418.0 Max. :24784
(Other):59855 (Other):59814
ORIGIN_SCHOOL_COUNT ORIGIN_HDB_DWELLING_UNIT ORIGIN_BUSINESS_COUNT
Min. :0.0000 Min. : 0 Min. : 0.000
1st Qu.:0.0000 1st Qu.: 0 1st Qu.: 0.000
Median :0.0000 Median : 924 Median : 1.000
Mean :0.5593 Mean :1830 Mean : 6.572
3rd Qu.:1.0000 3rd Qu.:3311 3rd Qu.: 6.000
Max. :4.0000 Max. :7946 Max. :97.000
ORIGIN_ENTERTAINMENT_COUNT ORIGIN_FNB_COUNT ORIGIN_FINSERV_COUNT
Min. :0.0000 Min. : 0.000 Min. : 0.000
1st Qu.:0.0000 1st Qu.: 0.000 1st Qu.: 1.000
Median :0.0000 Median : 0.000 Median : 3.000
Mean :0.3231 Mean : 5.542 Mean : 7.727
3rd Qu.:0.0000 3rd Qu.: 2.000 3rd Qu.: 9.000
Max. :9.0000 Max. :133.000 Max. :130.000
ORIGIN_LEIREC_COUNT ORIGIN_RETAILS_COUNT ORIGIN_MRT_EXIT_COUNT
Min. : 0.00 Min. : 0.00 Min. : 0.000
1st Qu.: 0.00 1st Qu.: 7.00 1st Qu.: 0.000
Median : 1.00 Median : 30.00 Median : 0.000
Mean : 2.29 Mean : 95.17 Mean : 1.319
3rd Qu.: 3.00 3rd Qu.: 104.00 3rd Qu.: 2.000
Max. :41.00 Max. :1669.00 Max. :13.000
DESTIN_SCHOOL_COUNT DESTIN_HDB_DWELLING_UNIT DESTIN_BUSINESS_COUNT
Min. :0.0000 Min. : 0 Min. : 0.000
1st Qu.:0.0000 1st Qu.: 0 1st Qu.: 0.000
Median :0.0000 Median : 932 Median : 1.000
Mean :0.5562 Mean :1838 Mean : 6.689
3rd Qu.:1.0000 3rd Qu.:3311 3rd Qu.: 6.000
Max. :4.0000 Max. :7946 Max. :97.000
DESTIN_ENTERTAINMENT_COUNT DESTIN_FNB_COUNT DESTIN_FINSERV_COUNT
Min. :0.0000 Min. : 0.00 Min. : 0.000
1st Qu.:0.0000 1st Qu.: 0.00 1st Qu.: 1.000
Median :0.0000 Median : 0.00 Median : 3.000
Mean :0.3344 Mean : 5.59 Mean : 7.882
3rd Qu.:0.0000 3rd Qu.: 2.00 3rd Qu.: 9.000
Max. :9.0000 Max. :133.00 Max. :130.000
DESTIN_LEIREC_COUNT DESTIN_RETAILS_COUNT DESTIN_MRT_EXIT_COUNT
Min. : 0.000 Min. : 0.00 Min. : 0.000
1st Qu.: 0.000 1st Qu.: 7.00 1st Qu.: 0.000
Median : 1.000 Median : 30.00 Median : 0.000
Mean : 2.312 Mean : 96.55 Mean : 1.337
3rd Qu.: 3.000 3rd Qu.: 106.00 3rd Qu.: 2.000
Max. :41.000 Max. :1669.00 Max. :13.000
The print report above reveals that some variables consists of 0 values:
ORIGIN_SCHOOL_COUNT and DESTIN_SCHOOL_COUNT
ORIGIN_HDB_DWELLING_UNIT, DESTIN_HDB_DWELLING_UNIT
ORIGIN_BUSINESS_COUNT, DESTIN_BUSINESS_COUNT
ORIGIN_ENTERTAINMENT_COUNT, DESTIN_ENTERTAINMENT_COUNT
ORIGIN_FNB_COUNT, DESTIN_FNB_COUNT
ORIGIN_FINSERV_COUNT, DESTIN_FINSERV_COUNT
ORIGIN_LEIREC_COUNT, DESTIN_LEIREC_COUNT
ORIGIN_RETAILS_COUNT, DESTIN_RETAILS_COUNT
ORIGIN_MRT_EXIT_COUNT, DESTIN_MRT_EXIT_COUNT
In view of this, code chunk below will be used to replace zero values to 0.99.
flow_data_tidy <- flow_data_tidy %>% mutate_all(~ ifelse(. == 0, 0.99, .))summary(flow_data_tidy) ORIGIN_GRID_ID DESTIN_GRID_ID MORNING_PEAK dist
1474 : 319 Min. : 44 Min. : 1.0 Min. : 750
1960 : 299 1st Qu.:1119 1st Qu.: 4.0 1st Qu.: 3000
1496 : 292 Median :1435 Median : 14.0 Median : 5408
1477 : 288 Mean :1424 Mean : 116.3 Mean : 6280
1431 : 278 3rd Qu.:1727 3rd Qu.: 56.0 3rd Qu.: 8649
1749 : 277 Max. :2505 Max. :43418.0 Max. :24784
(Other):59855
ORIGIN_SCHOOL_COUNT ORIGIN_HDB_DWELLING_UNIT ORIGIN_BUSINESS_COUNT
Min. :0.99 Min. : 0.99 Min. : 0.990
1st Qu.:0.99 1st Qu.: 0.99 1st Qu.: 0.990
Median :0.99 Median : 924.00 Median : 1.000
Mean :1.18 Mean :1830.60 Mean : 7.012
3rd Qu.:1.00 3rd Qu.:3311.00 3rd Qu.: 6.000
Max. :4.00 Max. :7946.00 Max. :97.000
ORIGIN_ENTERTAINMENT_COUNT ORIGIN_FNB_COUNT ORIGIN_FINSERV_COUNT
Min. :0.990 Min. : 0.990 Min. : 0.990
1st Qu.:0.990 1st Qu.: 0.990 1st Qu.: 1.000
Median :0.990 Median : 0.990 Median : 3.000
Mean :1.172 Mean : 6.067 Mean : 7.952
3rd Qu.:0.990 3rd Qu.: 2.000 3rd Qu.: 9.000
Max. :9.000 Max. :133.000 Max. :130.000
ORIGIN_LEIREC_COUNT ORIGIN_RETAILS_COUNT ORIGIN_MRT_EXIT_COUNT
Min. : 0.990 Min. : 0.99 Min. : 0.990
1st Qu.: 0.990 1st Qu.: 7.00 1st Qu.: 0.990
Median : 1.000 Median : 30.00 Median : 0.990
Mean : 2.683 Mean : 95.24 Mean : 1.933
3rd Qu.: 3.000 3rd Qu.: 104.00 3rd Qu.: 2.000
Max. :41.000 Max. :1669.00 Max. :13.000
DESTIN_SCHOOL_COUNT DESTIN_HDB_DWELLING_UNIT DESTIN_BUSINESS_COUNT
Min. :0.990 Min. : 0.99 Min. : 0.990
1st Qu.:0.990 1st Qu.: 0.99 1st Qu.: 0.990
Median :0.990 Median : 932.00 Median : 1.000
Mean :1.178 Mean :1838.01 Mean : 7.128
3rd Qu.:1.000 3rd Qu.:3311.00 3rd Qu.: 6.000
Max. :4.000 Max. :7946.00 Max. :97.000
DESTIN_ENTERTAINMENT_COUNT DESTIN_FNB_COUNT DESTIN_FINSERV_COUNT
Min. :0.99 Min. : 0.99 Min. : 0.990
1st Qu.:0.99 1st Qu.: 0.99 1st Qu.: 1.000
Median :0.99 Median : 0.99 Median : 3.000
Mean :1.18 Mean : 6.11 Mean : 8.105
3rd Qu.:0.99 3rd Qu.: 2.00 3rd Qu.: 9.000
Max. :9.00 Max. :133.00 Max. :130.000
DESTIN_LEIREC_COUNT DESTIN_RETAILS_COUNT DESTIN_MRT_EXIT_COUNT
Min. : 0.990 Min. : 0.99 Min. : 0.990
1st Qu.: 0.990 1st Qu.: 7.00 1st Qu.: 0.990
Median : 1.000 Median : 30.00 Median : 0.990
Mean : 2.703 Mean : 96.61 Mean : 1.949
3rd Qu.: 3.000 3rd Qu.: 106.00 3rd Qu.: 2.000
Max. :41.000 Max. :1669.00 Max. :13.000
14.4 R-squared function
I will use the goodness of fit or R-squared function below to identify how well the observed data fits the model by comparing the observed bales to the values generated by the models.
CalcRSquared <- function(observed,estimated){
r <- cor(observed,estimated)
R2 <- r^2
R2
}14.5 Unconstrained Spatial Interaction Model
In this section, I will calibrate an unconstrained spatial interaction model by using glm() of Base Stats.
Unconstrained spatial interaction uses all independent variables: propulsive(origin), attractive(destination), and distance.
uncSIM <- glm(formula = MORNING_PEAK ~
log(ORIGIN_SCHOOL_COUNT)+
log(ORIGIN_HDB_DWELLING_UNIT) +
log(ORIGIN_BUSINESS_COUNT)+
log(ORIGIN_ENTERTAINMENT_COUNT)+
log(ORIGIN_FNB_COUNT)+
log(ORIGIN_FINSERV_COUNT)+
log(ORIGIN_LEIREC_COUNT)+
log(ORIGIN_RETAILS_COUNT)+
log(ORIGIN_MRT_EXIT_COUNT)+
log(DESTIN_SCHOOL_COUNT)+
log(DESTIN_HDB_DWELLING_UNIT) +
log(DESTIN_BUSINESS_COUNT)+
log(DESTIN_ENTERTAINMENT_COUNT)+
log(DESTIN_FNB_COUNT)+
log(DESTIN_FINSERV_COUNT)+
log(DESTIN_LEIREC_COUNT)+
log(DESTIN_RETAILS_COUNT)+
log(DESTIN_MRT_EXIT_COUNT)+
log(dist),
family = poisson(link = "log"),
data = flow_data_tidy,
na.action = na.exclude)
write_rds(uncSIM, "data/rds/uncSIM.rds")uncSIM <- read_rds("data/rds/uncSIM.rds")
summary(uncSIM)
Call:
glm(formula = MORNING_PEAK ~ log(ORIGIN_SCHOOL_COUNT) + log(ORIGIN_HDB_DWELLING_UNIT) +
log(ORIGIN_BUSINESS_COUNT) + log(ORIGIN_ENTERTAINMENT_COUNT) +
log(ORIGIN_FNB_COUNT) + log(ORIGIN_FINSERV_COUNT) + log(ORIGIN_LEIREC_COUNT) +
log(ORIGIN_RETAILS_COUNT) + log(ORIGIN_MRT_EXIT_COUNT) +
log(DESTIN_SCHOOL_COUNT) + log(DESTIN_HDB_DWELLING_UNIT) +
log(DESTIN_BUSINESS_COUNT) + log(DESTIN_ENTERTAINMENT_COUNT) +
log(DESTIN_FNB_COUNT) + log(DESTIN_FINSERV_COUNT) + log(DESTIN_LEIREC_COUNT) +
log(DESTIN_RETAILS_COUNT) + log(DESTIN_MRT_EXIT_COUNT) +
log(dist), family = poisson(link = "log"), data = flow_data_tidy,
na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 14.6017272 0.0037998 3842.77 <2e-16 ***
log(ORIGIN_SCHOOL_COUNT) -0.0348253 0.0012170 -28.61 <2e-16 ***
log(ORIGIN_HDB_DWELLING_UNIT) 0.0783311 0.0001448 540.90 <2e-16 ***
log(ORIGIN_BUSINESS_COUNT) -0.1410675 0.0004331 -325.74 <2e-16 ***
log(ORIGIN_ENTERTAINMENT_COUNT) 0.1008795 0.0014054 71.78 <2e-16 ***
log(ORIGIN_FNB_COUNT) -0.0812181 0.0005293 -153.44 <2e-16 ***
log(ORIGIN_FINSERV_COUNT) 0.2554167 0.0006937 368.20 <2e-16 ***
log(ORIGIN_LEIREC_COUNT) -0.1362295 0.0006891 -197.70 <2e-16 ***
log(ORIGIN_RETAILS_COUNT) 0.0594141 0.0004389 135.37 <2e-16 ***
log(ORIGIN_MRT_EXIT_COUNT) 0.2554255 0.0007182 355.64 <2e-16 ***
log(DESTIN_SCHOOL_COUNT) 0.0292703 0.0012280 23.84 <2e-16 ***
log(DESTIN_HDB_DWELLING_UNIT) 0.0559484 0.0001426 392.31 <2e-16 ***
log(DESTIN_BUSINESS_COUNT) -0.1705303 0.0004394 -388.13 <2e-16 ***
log(DESTIN_ENTERTAINMENT_COUNT) 0.1146628 0.0012990 88.27 <2e-16 ***
log(DESTIN_FNB_COUNT) -0.0698330 0.0005093 -137.12 <2e-16 ***
log(DESTIN_FINSERV_COUNT) 0.3345663 0.0007071 473.17 <2e-16 ***
log(DESTIN_LEIREC_COUNT) -0.1069908 0.0006857 -156.04 <2e-16 ***
log(DESTIN_RETAILS_COUNT) 0.0549610 0.0004463 123.16 <2e-16 ***
log(DESTIN_MRT_EXIT_COUNT) 0.3696761 0.0006983 529.41 <2e-16 ***
log(dist) -1.4622311 0.0004613 -3170.09 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 27023218 on 61607 degrees of freedom
Residual deviance: 11214706 on 61588 degrees of freedom
AIC: 11502401
Number of Fisher Scoring iterations: 6From the above results, I notice that all explanatory variables are statistically significant(p-value< 0.05) and some variables show positive coefficient which is desirable for all variables except distance which should be inversely proportionate. The most influential variables are distance, destination mrt exit count, destination finserv count with -1.46 , 0.37 , and 0.33 respectively.
ORIGIN_HDB_DWELLING_UNIT, ORIGIN_ENTERTAINMENT_COUNT, ORIGIN_FINSERV_COUNT, ORIGIN_RETAILS_COUNT, ORIGIN_MRT_EXIT_COUNT
DESTIN_SCHOOL_COUNT, DESTIN_HDB_DWELLING_UNIT, DESTIN_ENTERTAINMENT_COUNT, DESTIN_FINSERV_COUNT, DESTIN_RETAILS_COUNT, DESTIN_MRT_EXIT_COUNT
dist (inversely)
Next, I will compute the R-squared of the unconstrained SIM by using the code chunk below.
CalcRSquared(uncSIM$data$MORNING_PEAK, uncSIM$fitted.values)[1] 0.3059525The R-squared value of 0.31 indicates that 31% of the variability in the MORNING_PEAK dependent variable can be accounted for by the explanatory variables in the model.
Next, I will run another model with only positive coefficient for origin and destination variables and negative coefficient for distance.
uncSIM1 <- glm(formula = MORNING_PEAK ~
log(ORIGIN_HDB_DWELLING_UNIT) +
log(ORIGIN_ENTERTAINMENT_COUNT)+
log(ORIGIN_FINSERV_COUNT)+
log(ORIGIN_RETAILS_COUNT)+
log(ORIGIN_MRT_EXIT_COUNT)+
log(DESTIN_SCHOOL_COUNT)+
log(DESTIN_HDB_DWELLING_UNIT) +
log(DESTIN_ENTERTAINMENT_COUNT)+
log(DESTIN_FINSERV_COUNT)+
log(DESTIN_RETAILS_COUNT)+
log(DESTIN_MRT_EXIT_COUNT)+
log(dist),
family = poisson(link = "log"),
data = flow_data_tidy,
na.action = na.exclude)
write_rds(uncSIM1, "data/rds/uncSIM1.rds")uncSIM1 <- read_rds("data/rds/uncSIM1.rds")
summary(uncSIM1)
Call:
glm(formula = MORNING_PEAK ~ log(ORIGIN_HDB_DWELLING_UNIT) +
log(ORIGIN_ENTERTAINMENT_COUNT) + log(ORIGIN_FINSERV_COUNT) +
log(ORIGIN_RETAILS_COUNT) + log(ORIGIN_MRT_EXIT_COUNT) +
log(DESTIN_SCHOOL_COUNT) + log(DESTIN_HDB_DWELLING_UNIT) +
log(DESTIN_ENTERTAINMENT_COUNT) + log(DESTIN_FINSERV_COUNT) +
log(DESTIN_RETAILS_COUNT) + log(DESTIN_MRT_EXIT_COUNT) +
log(dist), family = poisson(link = "log"), data = flow_data_tidy,
na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 14.3501247 0.0037867 3789.61 <2e-16 ***
log(ORIGIN_HDB_DWELLING_UNIT) 0.1083567 0.0001334 812.23 <2e-16 ***
log(ORIGIN_ENTERTAINMENT_COUNT) -0.2634514 0.0012520 -210.43 <2e-16 ***
log(ORIGIN_FINSERV_COUNT) 0.2378170 0.0006475 367.31 <2e-16 ***
log(ORIGIN_RETAILS_COUNT) -0.0302974 0.0003950 -76.69 <2e-16 ***
log(ORIGIN_MRT_EXIT_COUNT) 0.2318132 0.0007060 328.37 <2e-16 ***
log(DESTIN_SCHOOL_COUNT) 0.1370622 0.0012160 112.72 <2e-16 ***
log(DESTIN_HDB_DWELLING_UNIT) 0.0872081 0.0001347 647.51 <2e-16 ***
log(DESTIN_ENTERTAINMENT_COUNT) -0.2257577 0.0011544 -195.57 <2e-16 ***
log(DESTIN_FINSERV_COUNT) 0.3248828 0.0006573 494.25 <2e-16 ***
log(DESTIN_RETAILS_COUNT) -0.0354779 0.0004046 -87.70 <2e-16 ***
log(DESTIN_MRT_EXIT_COUNT) 0.3444931 0.0006876 501.01 <2e-16 ***
log(dist) -1.4447947 0.0004599 -3141.41 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 27023218 on 61607 degrees of freedom
Residual deviance: 11906138 on 61595 degrees of freedom
AIC: 12193819
Number of Fisher Scoring iterations: 6CalcRSquared(uncSIM1$data$MORNING_PEAK, uncSIM1$fitted.values)[1] 0.2465118From the above results, I notice that all explanatory variables are statistically significant(p-value< 0.05) but some variables still show negative coefficient which is not desirable for all variables except distance. In view of this, I will run another model although the R-squared reduces. This reduction does not necessarily mean the model is performing worse, instead it reflects the trade-off between model simplicity and the ability to explain variance.
uncSIM2 <- glm(formula = MORNING_PEAK ~
log(ORIGIN_HDB_DWELLING_UNIT) +
log(ORIGIN_FINSERV_COUNT)+
log(ORIGIN_MRT_EXIT_COUNT)+
log(DESTIN_SCHOOL_COUNT)+
log(DESTIN_HDB_DWELLING_UNIT) +
log(DESTIN_FINSERV_COUNT)+
log(DESTIN_MRT_EXIT_COUNT)+
log(dist),
family = poisson(link = "log"),
data = flow_data_tidy,
na.action = na.exclude)
write_rds(uncSIM2, "data/rds/uncSIM2.rds")uncSIM2 <- read_rds("data/rds/uncSIM2.rds")
summary(uncSIM2)
Call:
glm(formula = MORNING_PEAK ~ log(ORIGIN_HDB_DWELLING_UNIT) +
log(ORIGIN_FINSERV_COUNT) + log(ORIGIN_MRT_EXIT_COUNT) +
log(DESTIN_SCHOOL_COUNT) + log(DESTIN_HDB_DWELLING_UNIT) +
log(DESTIN_FINSERV_COUNT) + log(DESTIN_MRT_EXIT_COUNT) +
log(dist), family = poisson(link = "log"), data = flow_data_tidy,
na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 14.2384876 0.0037315 3815.8 <2e-16 ***
log(ORIGIN_HDB_DWELLING_UNIT) 0.1127902 0.0001321 853.5 <2e-16 ***
log(ORIGIN_FINSERV_COUNT) 0.1676838 0.0004203 398.9 <2e-16 ***
log(ORIGIN_MRT_EXIT_COUNT) 0.2075413 0.0006796 305.4 <2e-16 ***
log(DESTIN_SCHOOL_COUNT) 0.1683334 0.0012116 138.9 <2e-16 ***
log(DESTIN_HDB_DWELLING_UNIT) 0.0905424 0.0001332 679.6 <2e-16 ***
log(DESTIN_FINSERV_COUNT) 0.2503174 0.0004283 584.5 <2e-16 ***
log(DESTIN_MRT_EXIT_COUNT) 0.3240154 0.0006623 489.2 <2e-16 ***
log(dist) -1.4407044 0.0004593 -3136.9 <2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 27023218 on 61607 degrees of freedom
Residual deviance: 12032909 on 61599 degrees of freedom
AIC: 12320582
Number of Fisher Scoring iterations: 6CalcRSquared(uncSIM2$data$MORNING_PEAK, uncSIM2$fitted.values)[1] 0.2398473From the above results, I notice that all explanatory variables are statistically significant(p-value< 0.05) but all coefficient are as desired although the Rsquared for uncSIM2 is lower as compared to uncSIM and uncSIM1.
The most influential variables are distance, destination mrt exit count, destination finserv count with -1.44 , 0.32 , and 0.25 respectively.
14.6 Origin(Production) constrained SIM
Origin-constrained spatial interaction models focus on understanding the factors that influence the flow or movement of entities from specific starting points or origins to various destinations. These models emphasize the characteristics and constraints at the points of origin that shape the spatial interactions.
orcSIM <- glm(formula = MORNING_PEAK ~
ORIGIN_GRID_ID +
log(DESTIN_SCHOOL_COUNT) +
log(DESTIN_HDB_DWELLING_UNIT) +
log(DESTIN_FINSERV_COUNT)+
log(DESTIN_MRT_EXIT_COUNT)+
log(dist),
family = poisson(link = "log"),
data = flow_data_tidy,
na.action = na.exclude)
write_rds(orcSIM, "data/rds/orcSIM.rds")orcSIM <- read_rds("data/rds/orcSIM.rds")
summary(orcSIM)
Call:
glm(formula = MORNING_PEAK ~ ORIGIN_GRID_ID + log(DESTIN_SCHOOL_COUNT) +
log(DESTIN_HDB_DWELLING_UNIT) + log(DESTIN_FINSERV_COUNT) +
log(DESTIN_MRT_EXIT_COUNT) + log(dist), family = poisson(link = "log"),
data = flow_data_tidy, na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 13.7052639 0.1961497 69.871 < 2e-16 ***
ORIGIN_GRID_ID46 0.7936457 0.2151141 3.689 0.000225 ***
ORIGIN_GRID_ID66 -0.7609728 0.2933950 -2.594 0.009495 **
ORIGIN_GRID_ID67 1.4750696 0.2007564 7.348 2.02e-13 ***
ORIGIN_GRID_ID68 -0.0485729 0.2463407 -0.197 0.843689
ORIGIN_GRID_ID86 0.7966782 0.2093030 3.806 0.000141 ***
ORIGIN_GRID_ID87 2.2768843 0.2305812 9.875 < 2e-16 ***
ORIGIN_GRID_ID88 2.4298735 0.1974499 12.306 < 2e-16 ***
ORIGIN_GRID_ID89 -1.2123508 0.2659316 -4.559 5.14e-06 ***
ORIGIN_GRID_ID90 0.9213244 0.2203692 4.181 2.90e-05 ***
ORIGIN_GRID_ID109 1.2083398 0.2215851 5.453 4.95e-08 ***
ORIGIN_GRID_ID110 1.7308192 0.2108307 8.210 2.22e-16 ***
ORIGIN_GRID_ID111 3.4264148 0.1966146 17.427 < 2e-16 ***
ORIGIN_GRID_ID112 -0.6015263 0.2559075 -2.351 0.018745 *
ORIGIN_GRID_ID128 2.8259022 0.1983863 14.244 < 2e-16 ***
ORIGIN_GRID_ID129 1.9282619 0.2659322 7.251 4.14e-13 ***
ORIGIN_GRID_ID130 0.6325043 0.2091711 3.024 0.002496 **
ORIGIN_GRID_ID131 1.0675776 0.2037638 5.239 1.61e-07 ***
ORIGIN_GRID_ID132 0.0768907 0.2121262 0.362 0.716996
ORIGIN_GRID_ID133 0.1772501 0.2063007 0.859 0.390240
ORIGIN_GRID_ID134 -0.0087662 0.2164832 -0.040 0.967700
ORIGIN_GRID_ID150 3.8182538 0.1981325 19.271 < 2e-16 ***
ORIGIN_GRID_ID151 1.2623676 0.2112686 5.975 2.30e-09 ***
ORIGIN_GRID_ID152 0.8709572 0.2264554 3.846 0.000120 ***
ORIGIN_GRID_ID153 0.9753375 0.2018403 4.832 1.35e-06 ***
ORIGIN_GRID_ID154 1.7698920 0.1976731 8.954 < 2e-16 ***
ORIGIN_GRID_ID155 -1.2983843 0.2223749 -5.839 5.26e-09 ***
ORIGIN_GRID_ID156 0.1180525 0.2136723 0.552 0.580610
ORIGIN_GRID_ID172 1.7318896 0.2178775 7.949 1.88e-15 ***
ORIGIN_GRID_ID174 -0.0519518 0.2120264 -0.245 0.806437
ORIGIN_GRID_ID175 -0.3120778 0.2071378 -1.507 0.131908
ORIGIN_GRID_ID176 1.6084555 0.1973898 8.149 3.68e-16 ***
ORIGIN_GRID_ID195 0.7646770 0.2048669 3.733 0.000190 ***
ORIGIN_GRID_ID196 0.1246247 0.2022391 0.616 0.537746
ORIGIN_GRID_ID197 -0.7049558 0.2605252 -2.706 0.006812 **
ORIGIN_GRID_ID215 0.6738901 0.2053755 3.281 0.001033 **
ORIGIN_GRID_ID216 0.5728179 0.1999708 2.865 0.004177 **
ORIGIN_GRID_ID217 1.1317742 0.1986904 5.696 1.23e-08 ***
ORIGIN_GRID_ID237 -0.2395699 0.2394358 -1.001 0.317040
ORIGIN_GRID_ID238 -0.0242764 0.2136726 -0.114 0.909543
ORIGIN_GRID_ID239 -0.2373468 0.2507026 -0.947 0.343778
ORIGIN_GRID_ID257 1.3740219 0.2011014 6.832 8.35e-12 ***
ORIGIN_GRID_ID258 -0.7848317 0.2146981 -3.656 0.000257 ***
ORIGIN_GRID_ID259 0.5514828 0.2029444 2.717 0.006580 **
ORIGIN_GRID_ID278 2.4601063 0.1986621 12.383 < 2e-16 ***
ORIGIN_GRID_ID279 0.9099471 0.2006574 4.535 5.77e-06 ***
ORIGIN_GRID_ID280 0.6772696 0.2016299 3.359 0.000782 ***
ORIGIN_GRID_ID298 -0.0696750 0.4043042 -0.172 0.863176
ORIGIN_GRID_ID299 0.1822468 0.2093752 0.870 0.384065
ORIGIN_GRID_ID300 0.0552525 0.2039520 0.271 0.786461
ORIGIN_GRID_ID320 0.9568971 0.2034555 4.703 2.56e-06 ***
ORIGIN_GRID_ID321 1.2732357 0.2173330 5.858 4.67e-09 ***
ORIGIN_GRID_ID322 0.8218604 0.2123312 3.871 0.000109 ***
ORIGIN_GRID_ID340 2.3091735 0.1993416 11.584 < 2e-16 ***
ORIGIN_GRID_ID341 0.9961969 0.2007821 4.962 6.99e-07 ***
ORIGIN_GRID_ID342 0.7200834 0.2034346 3.540 0.000401 ***
ORIGIN_GRID_ID363 1.7904745 0.2006175 8.925 < 2e-16 ***
ORIGIN_GRID_ID364 0.8599221 0.2016427 4.265 2.00e-05 ***
ORIGIN_GRID_ID383 1.5075436 0.1990185 7.575 3.59e-14 ***
ORIGIN_GRID_ID384 0.3745281 0.2055472 1.822 0.068439 .
ORIGIN_GRID_ID385 -0.7164341 0.2426319 -2.953 0.003149 **
ORIGIN_GRID_ID404 1.7846295 0.2015478 8.855 < 2e-16 ***
ORIGIN_GRID_ID405 1.8747975 0.2025483 9.256 < 2e-16 ***
ORIGIN_GRID_ID406 2.3873375 0.1963785 12.157 < 2e-16 ***
ORIGIN_GRID_ID407 1.4660429 0.1986487 7.380 1.58e-13 ***
ORIGIN_GRID_ID408 2.1568709 0.1969516 10.951 < 2e-16 ***
ORIGIN_GRID_ID425 -0.5715313 0.2196945 -2.601 0.009282 **
ORIGIN_GRID_ID426 0.8580590 0.2015712 4.257 2.07e-05 ***
ORIGIN_GRID_ID427 0.3500832 0.1989619 1.760 0.078484 .
ORIGIN_GRID_ID428 1.6298997 0.1982101 8.223 < 2e-16 ***
ORIGIN_GRID_ID429 1.4747211 0.1982840 7.437 1.03e-13 ***
ORIGIN_GRID_ID446 0.8651970 0.2053759 4.213 2.52e-05 ***
ORIGIN_GRID_ID447 -0.3928684 0.2132010 -1.843 0.065371 .
ORIGIN_GRID_ID448 0.0263018 0.2028372 0.130 0.896828
ORIGIN_GRID_ID449 1.9342166 0.1966238 9.837 < 2e-16 ***
ORIGIN_GRID_ID450 1.2774575 0.1974849 6.469 9.89e-11 ***
ORIGIN_GRID_ID468 1.2598031 0.1993795 6.319 2.64e-10 ***
ORIGIN_GRID_ID469 0.0727527 0.1992034 0.365 0.714949
ORIGIN_GRID_ID470 2.5388895 0.1963161 12.933 < 2e-16 ***
ORIGIN_GRID_ID471 2.3759079 0.1969333 12.065 < 2e-16 ***
ORIGIN_GRID_ID488 0.3416573 0.2101038 1.626 0.103921
ORIGIN_GRID_ID489 -2.0677891 0.3314976 -6.238 4.44e-10 ***
ORIGIN_GRID_ID490 1.4698705 0.1973603 7.448 9.50e-14 ***
ORIGIN_GRID_ID491 1.3091133 0.1967555 6.654 2.86e-11 ***
ORIGIN_GRID_ID493 -1.7489508 0.2830709 -6.178 6.47e-10 ***
ORIGIN_GRID_ID494 1.6077164 0.1991653 8.072 6.90e-16 ***
ORIGIN_GRID_ID509 0.8108614 0.2019992 4.014 5.97e-05 ***
ORIGIN_GRID_ID510 1.5917007 0.1983572 8.024 1.02e-15 ***
ORIGIN_GRID_ID511 0.3096653 0.1980413 1.564 0.117902
ORIGIN_GRID_ID512 2.8679087 0.1962271 14.615 < 2e-16 ***
ORIGIN_GRID_ID513 0.0206063 0.2032713 0.101 0.919254
ORIGIN_GRID_ID514 1.2450656 0.2014150 6.182 6.35e-10 ***
ORIGIN_GRID_ID515 -0.6054713 0.2235085 -2.709 0.006750 **
ORIGIN_GRID_ID530 0.3295126 0.2109165 1.562 0.118220
ORIGIN_GRID_ID531 0.7376662 0.1992857 3.702 0.000214 ***
ORIGIN_GRID_ID532 0.6013980 0.1983296 3.032 0.002427 **
ORIGIN_GRID_ID533 2.7879770 0.1962229 14.208 < 2e-16 ***
ORIGIN_GRID_ID534 2.9456519 0.1962518 15.010 < 2e-16 ***
ORIGIN_GRID_ID536 0.5916957 0.2006742 2.949 0.003193 **
ORIGIN_GRID_ID537 -0.5813725 0.2519175 -2.308 0.021011 *
ORIGIN_GRID_ID538 -1.4937992 0.2862520 -5.218 1.80e-07 ***
ORIGIN_GRID_ID551 -0.2925535 0.2126463 -1.376 0.168891
ORIGIN_GRID_ID552 0.9528746 0.2033331 4.686 2.78e-06 ***
ORIGIN_GRID_ID553 0.1478058 0.1980796 0.746 0.455550
ORIGIN_GRID_ID554 2.4122445 0.1962686 12.291 < 2e-16 ***
ORIGIN_GRID_ID555 1.9488220 0.1968897 9.898 < 2e-16 ***
ORIGIN_GRID_ID559 0.8836760 0.2107492 4.193 2.75e-05 ***
ORIGIN_GRID_ID560 0.3449947 0.2163226 1.595 0.110753
ORIGIN_GRID_ID572 -0.4486129 0.2463416 -1.821 0.068592 .
ORIGIN_GRID_ID573 0.4780303 0.2019454 2.367 0.017927 *
ORIGIN_GRID_ID574 1.4449154 0.2128636 6.788 1.14e-11 ***
ORIGIN_GRID_ID575 3.9629023 0.1961424 20.204 < 2e-16 ***
ORIGIN_GRID_ID576 2.1184289 0.1963599 10.789 < 2e-16 ***
ORIGIN_GRID_ID578 -1.8441479 0.2830710 -6.515 7.28e-11 ***
ORIGIN_GRID_ID582 0.3332514 0.2275885 1.464 0.143120
ORIGIN_GRID_ID583 0.4637839 0.2331018 1.990 0.046633 *
ORIGIN_GRID_ID584 1.5645942 0.2097335 7.460 8.66e-14 ***
ORIGIN_GRID_ID593 -0.6639184 0.2250719 -2.950 0.003180 **
ORIGIN_GRID_ID594 0.8607307 0.2020410 4.260 2.04e-05 ***
ORIGIN_GRID_ID595 0.6978507 0.1974762 3.534 0.000410 ***
ORIGIN_GRID_ID596 1.9082149 0.1963184 9.720 < 2e-16 ***
ORIGIN_GRID_ID597 -0.6827198 0.2186517 -3.122 0.001794 **
ORIGIN_GRID_ID603 -0.1331496 0.2380011 -0.559 0.575855
ORIGIN_GRID_ID604 0.0896676 0.2426344 0.370 0.711711
ORIGIN_GRID_ID615 -0.5693680 0.2093075 -2.720 0.006523 **
ORIGIN_GRID_ID616 0.3885537 0.1996966 1.946 0.051688 .
ORIGIN_GRID_ID617 -0.2776459 0.1995117 -1.392 0.164035
ORIGIN_GRID_ID618 2.5954461 0.1962432 13.226 < 2e-16 ***
ORIGIN_GRID_ID620 -0.4711341 0.2107476 -2.236 0.025382 *
ORIGIN_GRID_ID637 -0.1039207 0.2011035 -0.517 0.605329
ORIGIN_GRID_ID638 2.3429294 0.1962449 11.939 < 2e-16 ***
ORIGIN_GRID_ID657 0.8760707 0.1980959 4.422 9.76e-06 ***
ORIGIN_GRID_ID658 1.2663872 0.1966553 6.440 1.20e-10 ***
ORIGIN_GRID_ID659 1.7686557 0.1964016 9.005 < 2e-16 ***
ORIGIN_GRID_ID660 3.1033849 0.1961791 15.819 < 2e-16 ***
ORIGIN_GRID_ID662 3.0272521 0.1964466 15.410 < 2e-16 ***
ORIGIN_GRID_ID677 1.3597464 0.1986655 6.844 7.68e-12 ***
ORIGIN_GRID_ID678 -0.7793633 0.2062213 -3.779 0.000157 ***
ORIGIN_GRID_ID679 2.6820756 0.1962309 13.668 < 2e-16 ***
ORIGIN_GRID_ID680 2.7432103 0.1962124 13.981 < 2e-16 ***
ORIGIN_GRID_ID681 1.2403263 0.1970750 6.294 3.10e-10 ***
ORIGIN_GRID_ID699 1.1343245 0.1979110 5.731 9.96e-09 ***
ORIGIN_GRID_ID700 2.0470535 0.1963798 10.424 < 2e-16 ***
ORIGIN_GRID_ID701 1.4420341 0.1966015 7.335 2.22e-13 ***
ORIGIN_GRID_ID702 2.7328908 0.1962065 13.929 < 2e-16 ***
ORIGIN_GRID_ID704 0.3036054 0.2009797 1.511 0.130884
ORIGIN_GRID_ID722 0.1365260 0.1979054 0.690 0.490285
ORIGIN_GRID_ID725 0.0236213 0.2011832 0.117 0.906534
ORIGIN_GRID_ID730 0.3308075 0.2146980 1.541 0.123365
ORIGIN_GRID_ID741 0.6294011 0.1985375 3.170 0.001523 **
ORIGIN_GRID_ID743 -0.1576847 0.1979356 -0.797 0.425656
ORIGIN_GRID_ID744 2.1434465 0.1962808 10.920 < 2e-16 ***
ORIGIN_GRID_ID752 1.6551941 0.2002998 8.264 < 2e-16 ***
ORIGIN_GRID_ID761 1.2897543 0.1983282 6.503 7.87e-11 ***
ORIGIN_GRID_ID762 1.9325315 0.1966037 9.830 < 2e-16 ***
ORIGIN_GRID_ID763 -0.8061963 0.1999673 -4.032 5.54e-05 ***
ORIGIN_GRID_ID764 2.8136432 0.1961902 14.341 < 2e-16 ***
ORIGIN_GRID_ID765 1.4250822 0.1968165 7.241 4.46e-13 ***
ORIGIN_GRID_ID767 2.8234014 0.1962719 14.385 < 2e-16 ***
ORIGIN_GRID_ID772 1.2163391 0.1992276 6.105 1.03e-09 ***
ORIGIN_GRID_ID784 -0.8375538 0.2005644 -4.176 2.97e-05 ***
ORIGIN_GRID_ID785 1.7699479 0.1962989 9.017 < 2e-16 ***
ORIGIN_GRID_ID786 1.1541979 0.1965061 5.874 4.26e-09 ***
ORIGIN_GRID_ID787 1.7364990 0.1966875 8.829 < 2e-16 ***
ORIGIN_GRID_ID788 2.0376065 0.1964635 10.371 < 2e-16 ***
ORIGIN_GRID_ID789 0.8730295 0.1972757 4.425 9.63e-06 ***
ORIGIN_GRID_ID803 -0.3430797 0.2068161 -1.659 0.097143 .
ORIGIN_GRID_ID804 2.5977482 0.1963009 13.233 < 2e-16 ***
ORIGIN_GRID_ID805 2.7173140 0.1961926 13.850 < 2e-16 ***
ORIGIN_GRID_ID806 1.8503358 0.1962993 9.426 < 2e-16 ***
ORIGIN_GRID_ID807 2.4083688 0.1963061 12.268 < 2e-16 ***
ORIGIN_GRID_ID808 0.6987693 0.1979071 3.531 0.000414 ***
ORIGIN_GRID_ID809 2.5047944 0.1962284 12.765 < 2e-16 ***
ORIGIN_GRID_ID810 1.8383148 0.1964369 9.358 < 2e-16 ***
ORIGIN_GRID_ID814 0.8412791 0.1993499 4.220 2.44e-05 ***
ORIGIN_GRID_ID819 5.4805720 0.1971859 27.794 < 2e-16 ***
ORIGIN_GRID_ID824 0.3985463 0.2011622 1.981 0.047567 *
ORIGIN_GRID_ID826 -0.0483727 0.1976274 -0.245 0.806637
ORIGIN_GRID_ID827 2.1410788 0.1962715 10.909 < 2e-16 ***
ORIGIN_GRID_ID828 2.2801211 0.1962345 11.619 < 2e-16 ***
ORIGIN_GRID_ID829 1.9889215 0.1963582 10.129 < 2e-16 ***
ORIGIN_GRID_ID830 1.8226755 0.1964680 9.277 < 2e-16 ***
ORIGIN_GRID_ID831 3.5129248 0.1961585 17.909 < 2e-16 ***
ORIGIN_GRID_ID832 3.2447792 0.1962393 16.535 < 2e-16 ***
ORIGIN_GRID_ID835 -0.6243826 0.2110906 -2.958 0.003098 **
ORIGIN_GRID_ID844 -0.5655412 0.2158540 -2.620 0.008793 **
ORIGIN_GRID_ID846 1.8191210 0.1963748 9.264 < 2e-16 ***
ORIGIN_GRID_ID847 1.8279117 0.1963593 9.309 < 2e-16 ***
ORIGIN_GRID_ID848 1.7137646 0.1963422 8.728 < 2e-16 ***
ORIGIN_GRID_ID849 0.8020293 0.1967120 4.077 4.56e-05 ***
ORIGIN_GRID_ID850 2.0903785 0.1962998 10.649 < 2e-16 ***
ORIGIN_GRID_ID851 2.1918358 0.1962576 11.168 < 2e-16 ***
ORIGIN_GRID_ID852 1.6688193 0.1964291 8.496 < 2e-16 ***
ORIGIN_GRID_ID853 3.2337284 0.1962519 16.477 < 2e-16 ***
ORIGIN_GRID_ID854 -0.1608702 0.2062606 -0.780 0.435428
ORIGIN_GRID_ID855 -0.7104226 0.2133167 -3.330 0.000867 ***
ORIGIN_GRID_ID856 1.3527738 0.1987629 6.806 1.00e-11 ***
ORIGIN_GRID_ID866 1.1183290 0.1983943 5.637 1.73e-08 ***
ORIGIN_GRID_ID867 1.0048226 0.1969447 5.102 3.36e-07 ***
ORIGIN_GRID_ID868 1.2051833 0.1968380 6.123 9.20e-10 ***
ORIGIN_GRID_ID869 2.2138387 0.1965507 11.263 < 2e-16 ***
ORIGIN_GRID_ID870 2.9871467 0.1961723 15.227 < 2e-16 ***
ORIGIN_GRID_ID871 2.8779060 0.1962951 14.661 < 2e-16 ***
ORIGIN_GRID_ID872 0.3291890 0.1973136 1.668 0.095245 .
ORIGIN_GRID_ID873 0.7391612 0.1969053 3.754 0.000174 ***
ORIGIN_GRID_ID874 0.7819061 0.1969562 3.970 7.19e-05 ***
ORIGIN_GRID_ID875 -0.8966651 0.2190566 -4.093 4.25e-05 ***
ORIGIN_GRID_ID876 -0.9381908 0.2126466 -4.412 1.02e-05 ***
ORIGIN_GRID_ID877 1.2412395 0.1982263 6.262 3.81e-10 ***
ORIGIN_GRID_ID887 0.5610469 0.1974785 2.841 0.004496 **
ORIGIN_GRID_ID888 1.1566340 0.1966961 5.880 4.09e-09 ***
ORIGIN_GRID_ID889 -0.8109493 0.2032520 -3.990 6.61e-05 ***
ORIGIN_GRID_ID890 2.3241763 0.1962400 11.844 < 2e-16 ***
ORIGIN_GRID_ID891 0.9258009 0.1973183 4.692 2.71e-06 ***
ORIGIN_GRID_ID893 2.3551052 0.1962339 12.002 < 2e-16 ***
ORIGIN_GRID_ID894 0.0735916 0.1977475 0.372 0.709782
ORIGIN_GRID_ID895 0.4880723 0.1980948 2.464 0.013746 *
ORIGIN_GRID_ID896 -0.4929757 0.2053763 -2.400 0.016379 *
ORIGIN_GRID_ID897 -0.6337752 0.2073327 -3.057 0.002237 **
ORIGIN_GRID_ID898 0.6222113 0.2002865 3.107 0.001892 **
ORIGIN_GRID_ID908 1.5205737 0.1978844 7.684 1.54e-14 ***
ORIGIN_GRID_ID909 1.5288524 0.1963905 7.785 6.98e-15 ***
ORIGIN_GRID_ID910 -1.1381538 0.2043325 -5.570 2.55e-08 ***
ORIGIN_GRID_ID911 1.5968803 0.1965091 8.126 4.43e-16 ***
ORIGIN_GRID_ID912 2.2621039 0.1962574 11.526 < 2e-16 ***
ORIGIN_GRID_ID915 2.0208808 0.1962905 10.295 < 2e-16 ***
ORIGIN_GRID_ID917 2.2968301 0.1964339 11.693 < 2e-16 ***
ORIGIN_GRID_ID918 -0.0274234 0.2010540 -0.136 0.891506
ORIGIN_GRID_ID919 0.8961066 0.1978425 4.529 5.92e-06 ***
ORIGIN_GRID_ID928 0.9495748 0.1974013 4.810 1.51e-06 ***
ORIGIN_GRID_ID929 1.7846779 0.1963216 9.091 < 2e-16 ***
ORIGIN_GRID_ID930 2.8123016 0.1961754 14.336 < 2e-16 ***
ORIGIN_GRID_ID931 -0.4978945 0.2005335 -2.483 0.013034 *
ORIGIN_GRID_ID932 0.1077244 0.2006345 0.537 0.591324
ORIGIN_GRID_ID933 1.8247970 0.1964661 9.288 < 2e-16 ***
ORIGIN_GRID_ID934 -0.9632928 0.2014924 -4.781 1.75e-06 ***
ORIGIN_GRID_ID935 3.5110720 0.1961547 17.900 < 2e-16 ***
ORIGIN_GRID_ID938 -1.0551548 0.2679464 -3.938 8.22e-05 ***
ORIGIN_GRID_ID939 3.3312924 0.1962214 16.977 < 2e-16 ***
ORIGIN_GRID_ID940 -0.3728981 0.2310567 -1.614 0.106553
ORIGIN_GRID_ID949 1.0968249 0.1970521 5.566 2.60e-08 ***
ORIGIN_GRID_ID950 2.9263400 0.1962312 14.913 < 2e-16 ***
ORIGIN_GRID_ID951 3.2157073 0.1961624 16.393 < 2e-16 ***
ORIGIN_GRID_ID952 0.5016132 0.1985869 2.526 0.011540 *
ORIGIN_GRID_ID953 1.2482200 0.1970016 6.336 2.36e-10 ***
ORIGIN_GRID_ID954 -0.3134919 0.1988610 -1.576 0.114925
ORIGIN_GRID_ID955 2.1684018 0.1963157 11.045 < 2e-16 ***
ORIGIN_GRID_ID956 0.1241202 0.1974625 0.629 0.529627
ORIGIN_GRID_ID957 2.1108851 0.1963493 10.751 < 2e-16 ***
ORIGIN_GRID_ID959 0.1204560 0.2076888 0.580 0.561926
ORIGIN_GRID_ID961 -0.4074120 0.2011530 -2.025 0.042828 *
ORIGIN_GRID_ID962 8.4240700 0.1961749 42.942 < 2e-16 ***
ORIGIN_GRID_ID970 1.3898712 0.1965163 7.073 1.52e-12 ***
ORIGIN_GRID_ID971 2.0476591 0.1962392 10.435 < 2e-16 ***
ORIGIN_GRID_ID972 1.8389481 0.1963102 9.368 < 2e-16 ***
ORIGIN_GRID_ID974 1.3659085 0.1966279 6.947 3.74e-12 ***
ORIGIN_GRID_ID975 0.7573099 0.1970846 3.843 0.000122 ***
ORIGIN_GRID_ID976 0.6915144 0.1970788 3.509 0.000450 ***
ORIGIN_GRID_ID977 2.3902181 0.1962369 12.180 < 2e-16 ***
ORIGIN_GRID_ID978 1.9783132 0.1965545 10.065 < 2e-16 ***
ORIGIN_GRID_ID982 -0.1375747 0.1989470 -0.692 0.489242
ORIGIN_GRID_ID983 4.1207786 0.1962286 21.000 < 2e-16 ***
ORIGIN_GRID_ID984 5.7199583 0.1961974 29.154 < 2e-16 ***
ORIGIN_GRID_ID991 1.5229788 0.1965451 7.749 9.28e-15 ***
ORIGIN_GRID_ID992 1.6137465 0.1964157 8.216 < 2e-16 ***
ORIGIN_GRID_ID993 0.7527292 0.1966763 3.827 0.000130 ***
ORIGIN_GRID_ID994 0.5723198 0.1969696 2.906 0.003665 **
ORIGIN_GRID_ID995 2.3432421 0.1962800 11.938 < 2e-16 ***
ORIGIN_GRID_ID996 1.2537646 0.1967030 6.374 1.84e-10 ***
ORIGIN_GRID_ID997 0.4840917 0.2009149 2.409 0.015977 *
ORIGIN_GRID_ID998 2.5459523 0.1962516 12.973 < 2e-16 ***
ORIGIN_GRID_ID999 2.4303429 0.1963591 12.377 < 2e-16 ***
ORIGIN_GRID_ID1001 0.3876107 0.2019192 1.920 0.054904 .
ORIGIN_GRID_ID1003 2.9546786 0.1962257 15.058 < 2e-16 ***
ORIGIN_GRID_ID1004 3.1362685 0.1962225 15.983 < 2e-16 ***
ORIGIN_GRID_ID1011 0.4651663 0.1995106 2.332 0.019725 *
ORIGIN_GRID_ID1012 0.9471824 0.1975461 4.795 1.63e-06 ***
ORIGIN_GRID_ID1013 0.5173291 0.1970956 2.625 0.008671 **
ORIGIN_GRID_ID1014 0.6170956 0.1969511 3.133 0.001729 **
ORIGIN_GRID_ID1015 0.0722020 0.1978636 0.365 0.715180
ORIGIN_GRID_ID1016 2.1786164 0.1963031 11.098 < 2e-16 ***
ORIGIN_GRID_ID1018 1.5043229 0.1971168 7.632 2.32e-14 ***
ORIGIN_GRID_ID1019 3.0705795 0.1962601 15.645 < 2e-16 ***
ORIGIN_GRID_ID1023 1.2930377 0.1970261 6.563 5.28e-11 ***
ORIGIN_GRID_ID1024 2.5453821 0.1963006 12.967 < 2e-16 ***
ORIGIN_GRID_ID1025 -0.3347263 0.2046067 -1.636 0.101850
ORIGIN_GRID_ID1033 1.0008564 0.1968487 5.084 3.69e-07 ***
ORIGIN_GRID_ID1034 1.3981183 0.1964635 7.116 1.11e-12 ***
ORIGIN_GRID_ID1035 1.5831734 0.1963915 8.061 7.55e-16 ***
ORIGIN_GRID_ID1036 1.7565601 0.1963979 8.944 < 2e-16 ***
ORIGIN_GRID_ID1037 1.7427752 0.1963535 8.876 < 2e-16 ***
ORIGIN_GRID_ID1043 1.9744516 0.1971685 10.014 < 2e-16 ***
ORIGIN_GRID_ID1045 2.5210353 0.1962487 12.846 < 2e-16 ***
ORIGIN_GRID_ID1046 2.5193129 0.1963307 12.832 < 2e-16 ***
ORIGIN_GRID_ID1053 1.4015561 0.1965504 7.131 9.98e-13 ***
ORIGIN_GRID_ID1054 0.6103616 0.1969167 3.100 0.001938 **
ORIGIN_GRID_ID1055 1.7744988 0.1963324 9.038 < 2e-16 ***
ORIGIN_GRID_ID1056 0.9729741 0.1967038 4.946 7.56e-07 ***
ORIGIN_GRID_ID1064 -0.4739584 0.2659326 -1.782 0.074709 .
ORIGIN_GRID_ID1066 2.7015162 0.1962351 13.767 < 2e-16 ***
ORIGIN_GRID_ID1067 -2.4630631 0.2605263 -9.454 < 2e-16 ***
ORIGIN_GRID_ID1074 1.3947247 0.1965951 7.094 1.30e-12 ***
ORIGIN_GRID_ID1075 -0.4038723 0.1992483 -2.027 0.042664 *
ORIGIN_GRID_ID1076 0.6619419 0.1966817 3.366 0.000764 ***
ORIGIN_GRID_ID1077 0.5914987 0.1969996 3.003 0.002677 **
ORIGIN_GRID_ID1079 1.7315035 0.1963914 8.817 < 2e-16 ***
ORIGIN_GRID_ID1085 -0.5456760 0.2221066 -2.457 0.014017 *
ORIGIN_GRID_ID1087 1.7683493 0.1964682 9.001 < 2e-16 ***
ORIGIN_GRID_ID1088 0.6320636 0.1974756 3.201 0.001371 **
ORIGIN_GRID_ID1094 -0.2950632 0.2127549 -1.387 0.165482
ORIGIN_GRID_ID1095 -0.2073035 0.2032710 -1.020 0.307805
ORIGIN_GRID_ID1096 -0.4419893 0.2026333 -2.181 0.029167 *
ORIGIN_GRID_ID1097 2.2102167 0.1962242 11.264 < 2e-16 ***
ORIGIN_GRID_ID1098 -0.1271885 0.1986414 -0.640 0.521983
ORIGIN_GRID_ID1099 1.4800346 0.1964502 7.534 4.92e-14 ***
ORIGIN_GRID_ID1105 2.5719687 0.1970423 13.053 < 2e-16 ***
ORIGIN_GRID_ID1106 -1.3859617 0.2453587 -5.649 1.62e-08 ***
ORIGIN_GRID_ID1107 0.3967897 0.1997862 1.986 0.047025 *
ORIGIN_GRID_ID1108 3.9473866 0.1961442 20.125 < 2e-16 ***
ORIGIN_GRID_ID1109 -0.1467699 0.2015960 -0.728 0.466589
ORIGIN_GRID_ID1116 0.6856825 0.1970971 3.479 0.000503 ***
ORIGIN_GRID_ID1117 0.2239675 0.1975336 1.134 0.256870
ORIGIN_GRID_ID1118 -0.6910266 0.1993488 -3.466 0.000527 ***
ORIGIN_GRID_ID1119 0.9290988 0.1965655 4.727 2.28e-06 ***
ORIGIN_GRID_ID1120 0.5011065 0.1974994 2.537 0.011173 *
ORIGIN_GRID_ID1129 2.3441083 0.1963251 11.940 < 2e-16 ***
ORIGIN_GRID_ID1130 2.4485151 0.1962751 12.475 < 2e-16 ***
ORIGIN_GRID_ID1131 1.8366740 0.1971403 9.317 < 2e-16 ***
ORIGIN_GRID_ID1136 0.3610869 0.1974181 1.829 0.067393 .
ORIGIN_GRID_ID1138 -0.5622073 0.2004588 -2.805 0.005038 **
ORIGIN_GRID_ID1139 1.6410506 0.1963039 8.360 < 2e-16 ***
ORIGIN_GRID_ID1141 1.4275327 0.1964851 7.265 3.72e-13 ***
ORIGIN_GRID_ID1148 -0.0727201 0.2072835 -0.351 0.725720
ORIGIN_GRID_ID1149 1.1660521 0.1974327 5.906 3.50e-09 ***
ORIGIN_GRID_ID1150 2.4072498 0.1962502 12.266 < 2e-16 ***
ORIGIN_GRID_ID1151 1.7207982 0.1965557 8.755 < 2e-16 ***
ORIGIN_GRID_ID1158 0.2734760 0.1971787 1.387 0.165459
ORIGIN_GRID_ID1159 1.2288151 0.1963980 6.257 3.93e-10 ***
ORIGIN_GRID_ID1160 2.0740656 0.1962278 10.570 < 2e-16 ***
ORIGIN_GRID_ID1171 2.6565894 0.1962674 13.536 < 2e-16 ***
ORIGIN_GRID_ID1172 2.8924138 0.1962207 14.741 < 2e-16 ***
ORIGIN_GRID_ID1173 0.9441775 0.1974401 4.782 1.73e-06 ***
ORIGIN_GRID_ID1174 -1.5457065 0.3177450 -4.865 1.15e-06 ***
ORIGIN_GRID_ID1178 1.0498015 0.1965614 5.341 9.25e-08 ***
ORIGIN_GRID_ID1179 1.4400178 0.1963518 7.334 2.24e-13 ***
ORIGIN_GRID_ID1180 2.0316699 0.1962312 10.353 < 2e-16 ***
ORIGIN_GRID_ID1181 0.9972669 0.1964605 5.076 3.85e-07 ***
ORIGIN_GRID_ID1183 0.5843471 0.1970869 2.965 0.003028 **
ORIGIN_GRID_ID1190 -0.3931651 0.2086575 -1.884 0.059530 .
ORIGIN_GRID_ID1192 2.3440941 0.1963671 11.937 < 2e-16 ***
ORIGIN_GRID_ID1193 1.9709863 0.1964190 10.035 < 2e-16 ***
ORIGIN_GRID_ID1194 1.0555531 0.1976447 5.341 9.26e-08 ***
ORIGIN_GRID_ID1200 0.9561173 0.1966021 4.863 1.15e-06 ***
ORIGIN_GRID_ID1201 1.4966341 0.1963547 7.622 2.50e-14 ***
ORIGIN_GRID_ID1203 1.5963592 0.1963680 8.129 4.31e-16 ***
ORIGIN_GRID_ID1204 0.6776216 0.1968929 3.442 0.000578 ***
ORIGIN_GRID_ID1211 1.0935183 0.2014909 5.427 5.73e-08 ***
ORIGIN_GRID_ID1214 2.3418979 0.1963023 11.930 < 2e-16 ***
ORIGIN_GRID_ID1215 0.1628229 0.2042035 0.797 0.425244
ORIGIN_GRID_ID1216 0.6441222 0.2002072 3.217 0.001294 **
ORIGIN_GRID_ID1220 1.8351975 0.1963021 9.349 < 2e-16 ***
ORIGIN_GRID_ID1221 1.6213919 0.1962847 8.260 < 2e-16 ***
ORIGIN_GRID_ID1222 1.1805934 0.1969477 5.994 2.04e-09 ***
ORIGIN_GRID_ID1223 0.4796497 0.1969784 2.435 0.014890 *
ORIGIN_GRID_ID1224 0.8032342 0.1967323 4.083 4.45e-05 ***
ORIGIN_GRID_ID1231 0.0249028 0.2069970 0.120 0.904241
ORIGIN_GRID_ID1232 0.7407810 0.2045503 3.622 0.000293 ***
ORIGIN_GRID_ID1235 0.3020795 0.1976732 1.528 0.126469
ORIGIN_GRID_ID1236 1.3186798 0.1971391 6.689 2.25e-11 ***
ORIGIN_GRID_ID1241 0.7988557 0.1967022 4.061 4.88e-05 ***
ORIGIN_GRID_ID1242 0.9735436 0.1965150 4.954 7.27e-07 ***
ORIGIN_GRID_ID1243 1.6345206 0.1962811 8.327 < 2e-16 ***
ORIGIN_GRID_ID1246 1.3710592 0.1964369 6.980 2.96e-12 ***
ORIGIN_GRID_ID1256 1.1636656 0.1967852 5.913 3.35e-09 ***
ORIGIN_GRID_ID1257 2.3155931 0.1964123 11.789 < 2e-16 ***
ORIGIN_GRID_ID1258 1.4545667 0.1971155 7.379 1.59e-13 ***
ORIGIN_GRID_ID1262 0.5020729 0.1968704 2.550 0.010764 *
ORIGIN_GRID_ID1263 1.9481893 0.1962296 9.928 < 2e-16 ***
ORIGIN_GRID_ID1264 0.7639228 0.1967501 3.883 0.000103 ***
ORIGIN_GRID_ID1265 0.7750494 0.1967489 3.939 8.17e-05 ***
ORIGIN_GRID_ID1266 1.2228192 0.1965904 6.220 4.97e-10 ***
ORIGIN_GRID_ID1267 0.7888286 0.1975677 3.993 6.53e-05 ***
ORIGIN_GRID_ID1272 -1.4101419 0.2247446 -6.274 3.51e-10 ***
ORIGIN_GRID_ID1273 1.0480524 0.1972465 5.313 1.08e-07 ***
ORIGIN_GRID_ID1277 2.4922928 0.1962645 12.699 < 2e-16 ***
ORIGIN_GRID_ID1278 0.9912411 0.1971129 5.029 4.94e-07 ***
ORIGIN_GRID_ID1283 2.6952276 0.1961955 13.737 < 2e-16 ***
ORIGIN_GRID_ID1284 1.6758639 0.1962816 8.538 < 2e-16 ***
ORIGIN_GRID_ID1285 2.2562440 0.1962061 11.499 < 2e-16 ***
ORIGIN_GRID_ID1286 0.9457494 0.1967492 4.807 1.53e-06 ***
ORIGIN_GRID_ID1289 0.0011930 0.2001426 0.006 0.995244
ORIGIN_GRID_ID1293 -0.2942408 0.2101048 -1.400 0.161379
ORIGIN_GRID_ID1294 1.9896986 0.1965798 10.122 < 2e-16 ***
ORIGIN_GRID_ID1295 0.7070552 0.1977861 3.575 0.000350 ***
ORIGIN_GRID_ID1298 1.1948758 0.1966385 6.077 1.23e-09 ***
ORIGIN_GRID_ID1299 2.0630464 0.1964769 10.500 < 2e-16 ***
ORIGIN_GRID_ID1304 2.0551319 0.1962533 10.472 < 2e-16 ***
ORIGIN_GRID_ID1305 1.6935394 0.1962397 8.630 < 2e-16 ***
ORIGIN_GRID_ID1307 -0.7302734 0.2000692 -3.650 0.000262 ***
ORIGIN_GRID_ID1308 1.4656724 0.1964129 7.462 8.51e-14 ***
ORIGIN_GRID_ID1310 -1.3839593 0.2257481 -6.131 8.76e-10 ***
ORIGIN_GRID_ID1316 -0.6611436 0.2018811 -3.275 0.001057 **
ORIGIN_GRID_ID1317 0.2836091 0.1976451 1.435 0.151304
ORIGIN_GRID_ID1318 -0.4924373 0.1997850 -2.465 0.013708 *
ORIGIN_GRID_ID1319 2.9147601 0.1962165 14.855 < 2e-16 ***
ORIGIN_GRID_ID1320 1.4671315 0.1969386 7.450 9.36e-14 ***
ORIGIN_GRID_ID1325 -0.1652717 0.1976350 -0.836 0.403016
ORIGIN_GRID_ID1326 1.5886960 0.1962705 8.094 5.75e-16 ***
ORIGIN_GRID_ID1327 1.4610715 0.1962812 7.444 9.79e-14 ***
ORIGIN_GRID_ID1328 0.9145296 0.1964738 4.655 3.24e-06 ***
ORIGIN_GRID_ID1329 1.2766567 0.1966772 6.491 8.52e-11 ***
ORIGIN_GRID_ID1330 0.8989530 0.1970009 4.563 5.04e-06 ***
ORIGIN_GRID_ID1331 -2.2011273 0.2700829 -8.150 3.64e-16 ***
ORIGIN_GRID_ID1333 0.4455035 0.1972590 2.258 0.023916 *
ORIGIN_GRID_ID1334 0.9129079 0.1970499 4.633 3.61e-06 ***
ORIGIN_GRID_ID1335 1.0777163 0.1970800 5.468 4.54e-08 ***
ORIGIN_GRID_ID1336 -0.9259203 0.2264572 -4.089 4.34e-05 ***
ORIGIN_GRID_ID1337 -1.1084544 0.2062623 -5.374 7.70e-08 ***
ORIGIN_GRID_ID1338 -1.9661736 0.2135546 -9.207 < 2e-16 ***
ORIGIN_GRID_ID1339 3.0535229 0.1961869 15.564 < 2e-16 ***
ORIGIN_GRID_ID1340 1.8796729 0.1964427 9.569 < 2e-16 ***
ORIGIN_GRID_ID1341 -2.8827561 0.7338003 -3.929 8.55e-05 ***
ORIGIN_GRID_ID1346 1.5685446 0.1963841 7.987 1.38e-15 ***
ORIGIN_GRID_ID1347 2.4875023 0.1961831 12.679 < 2e-16 ***
ORIGIN_GRID_ID1348 1.3057063 0.1962860 6.652 2.89e-11 ***
ORIGIN_GRID_ID1349 1.8558884 0.1962634 9.456 < 2e-16 ***
ORIGIN_GRID_ID1350 0.5946801 0.1973199 3.014 0.002580 **
ORIGIN_GRID_ID1353 0.9745954 0.1966181 4.957 7.17e-07 ***
ORIGIN_GRID_ID1354 0.1657885 0.1975083 0.839 0.401245
ORIGIN_GRID_ID1355 1.1639915 0.1966821 5.918 3.26e-09 ***
ORIGIN_GRID_ID1357 -0.3820535 0.2013598 -1.897 0.057779 .
ORIGIN_GRID_ID1358 1.4064267 0.1965363 7.156 8.30e-13 ***
ORIGIN_GRID_ID1359 1.7015630 0.1963786 8.665 < 2e-16 ***
ORIGIN_GRID_ID1360 1.6534543 0.1964308 8.417 < 2e-16 ***
ORIGIN_GRID_ID1361 2.6142488 0.1962998 13.318 < 2e-16 ***
ORIGIN_GRID_ID1362 -0.6649948 0.2139193 -3.109 0.001880 **
ORIGIN_GRID_ID1368 0.4139657 0.1965477 2.106 0.035188 *
ORIGIN_GRID_ID1369 0.0973074 0.1966888 0.495 0.620792
ORIGIN_GRID_ID1370 2.3398023 0.1961828 11.927 < 2e-16 ***
ORIGIN_GRID_ID1371 0.9544653 0.1967621 4.851 1.23e-06 ***
ORIGIN_GRID_ID1372 -0.3136056 0.1984080 -1.581 0.113967
ORIGIN_GRID_ID1373 -1.0167336 0.2046348 -4.969 6.75e-07 ***
ORIGIN_GRID_ID1374 0.1404524 0.1970881 0.713 0.476070
ORIGIN_GRID_ID1375 1.3249870 0.1966438 6.738 1.61e-11 ***
ORIGIN_GRID_ID1376 0.5787242 0.1975129 2.930 0.003389 **
ORIGIN_GRID_ID1379 -0.8990987 0.2058746 -4.367 1.26e-05 ***
ORIGIN_GRID_ID1380 2.8796047 0.1961857 14.678 < 2e-16 ***
ORIGIN_GRID_ID1381 2.7659303 0.1962008 14.097 < 2e-16 ***
ORIGIN_GRID_ID1382 2.0868181 0.1964207 10.624 < 2e-16 ***
ORIGIN_GRID_ID1383 -0.0841941 0.2006756 -0.420 0.674812
ORIGIN_GRID_ID1388 0.7926849 0.1964360 4.035 5.45e-05 ***
ORIGIN_GRID_ID1389 0.3085730 0.1965070 1.570 0.116348
ORIGIN_GRID_ID1390 1.0436073 0.1963443 5.315 1.07e-07 ***
ORIGIN_GRID_ID1391 1.0400889 0.1964251 5.295 1.19e-07 ***
ORIGIN_GRID_ID1392 0.7185455 0.1972713 3.642 0.000270 ***
ORIGIN_GRID_ID1393 -0.6413601 0.1983155 -3.234 0.001221 **
ORIGIN_GRID_ID1394 1.2691689 0.1963811 6.463 1.03e-10 ***
ORIGIN_GRID_ID1395 1.3035737 0.1963767 6.638 3.18e-11 ***
ORIGIN_GRID_ID1396 1.9145033 0.1962990 9.753 < 2e-16 ***
ORIGIN_GRID_ID1397 1.5649358 0.1964324 7.967 1.63e-15 ***
ORIGIN_GRID_ID1398 0.7446893 0.1974536 3.771 0.000162 ***
ORIGIN_GRID_ID1400 1.3442792 0.1967724 6.832 8.39e-12 ***
ORIGIN_GRID_ID1401 2.2267683 0.1962388 11.347 < 2e-16 ***
ORIGIN_GRID_ID1402 2.4413817 0.1962610 12.439 < 2e-16 ***
ORIGIN_GRID_ID1404 2.5966427 0.1972446 13.165 < 2e-16 ***
ORIGIN_GRID_ID1410 0.5254683 0.1964306 2.675 0.007471 **
ORIGIN_GRID_ID1411 0.4939236 0.1964722 2.514 0.011938 *
ORIGIN_GRID_ID1412 1.9771910 0.1961962 10.078 < 2e-16 ***
ORIGIN_GRID_ID1413 1.7225282 0.1962651 8.777 < 2e-16 ***
ORIGIN_GRID_ID1414 0.9485680 0.1964264 4.829 1.37e-06 ***
ORIGIN_GRID_ID1415 0.6658233 0.1966370 3.386 0.000709 ***
ORIGIN_GRID_ID1416 0.7797282 0.1966037 3.966 7.31e-05 ***
ORIGIN_GRID_ID1417 1.2190908 0.1963840 6.208 5.38e-10 ***
ORIGIN_GRID_ID1418 1.7669379 0.1963101 9.001 < 2e-16 ***
ORIGIN_GRID_ID1419 1.1524774 0.1965828 5.863 4.56e-09 ***
ORIGIN_GRID_ID1422 1.9379377 0.1963983 9.867 < 2e-16 ***
ORIGIN_GRID_ID1423 2.9085023 0.1962192 14.823 < 2e-16 ***
ORIGIN_GRID_ID1430 1.0203816 0.1963520 5.197 2.03e-07 ***
ORIGIN_GRID_ID1431 2.2370907 0.1961682 11.404 < 2e-16 ***
ORIGIN_GRID_ID1432 1.5633320 0.1962188 7.967 1.62e-15 ***
ORIGIN_GRID_ID1433 -0.0286372 0.1975663 -0.145 0.884750
ORIGIN_GRID_ID1434 1.9179093 0.1962361 9.773 < 2e-16 ***
ORIGIN_GRID_ID1435 1.5465682 0.1962806 7.879 3.29e-15 ***
ORIGIN_GRID_ID1436 -0.6872197 0.1988853 -3.455 0.000550 ***
ORIGIN_GRID_ID1437 1.9665932 0.1962582 10.020 < 2e-16 ***
ORIGIN_GRID_ID1438 2.0860874 0.1962125 10.632 < 2e-16 ***
ORIGIN_GRID_ID1439 2.2455995 0.1962324 11.444 < 2e-16 ***
ORIGIN_GRID_ID1440 -0.1559724 0.1987214 -0.785 0.432524
ORIGIN_GRID_ID1442 1.4026262 0.1967206 7.130 1.00e-12 ***
ORIGIN_GRID_ID1443 2.6298973 0.1962510 13.401 < 2e-16 ***
ORIGIN_GRID_ID1444 2.2101152 0.1965153 11.247 < 2e-16 ***
ORIGIN_GRID_ID1452 0.9669993 0.1963139 4.926 8.40e-07 ***
ORIGIN_GRID_ID1453 1.1319191 0.1962920 5.767 8.09e-09 ***
ORIGIN_GRID_ID1454 0.5612014 0.1967381 2.853 0.004337 **
ORIGIN_GRID_ID1455 0.7059898 0.1965645 3.592 0.000329 ***
ORIGIN_GRID_ID1456 1.7378105 0.1962763 8.854 < 2e-16 ***
ORIGIN_GRID_ID1457 1.9769140 0.1962525 10.073 < 2e-16 ***
ORIGIN_GRID_ID1458 2.6556218 0.1961772 13.537 < 2e-16 ***
ORIGIN_GRID_ID1459 1.5716327 0.1963004 8.006 1.18e-15 ***
ORIGIN_GRID_ID1460 1.4650501 0.1963241 7.462 8.50e-14 ***
ORIGIN_GRID_ID1461 0.3225925 0.1974990 1.633 0.102387
ORIGIN_GRID_ID1464 2.6444377 0.1962655 13.474 < 2e-16 ***
ORIGIN_GRID_ID1465 2.3629513 0.1963817 12.032 < 2e-16 ***
ORIGIN_GRID_ID1472 -0.8840065 0.1978114 -4.469 7.86e-06 ***
ORIGIN_GRID_ID1473 0.2081551 0.1965277 1.059 0.289525
ORIGIN_GRID_ID1474 1.8201484 0.1961916 9.277 < 2e-16 ***
ORIGIN_GRID_ID1475 2.3701102 0.1961803 12.081 < 2e-16 ***
ORIGIN_GRID_ID1476 1.2893729 0.1963883 6.565 5.19e-11 ***
ORIGIN_GRID_ID1477 3.0284874 0.1961496 15.440 < 2e-16 ***
ORIGIN_GRID_ID1478 0.8219424 0.1964941 4.183 2.88e-05 ***
ORIGIN_GRID_ID1479 1.0654392 0.1964179 5.424 5.82e-08 ***
ORIGIN_GRID_ID1480 3.1497151 0.1961524 16.057 < 2e-16 ***
ORIGIN_GRID_ID1481 0.1707924 0.1972485 0.866 0.386559
ORIGIN_GRID_ID1482 0.3308107 0.1978835 1.672 0.094575 .
ORIGIN_GRID_ID1485 2.2711410 0.1964092 11.563 < 2e-16 ***
ORIGIN_GRID_ID1494 -0.1070788 0.1971615 -0.543 0.587060
ORIGIN_GRID_ID1495 0.8504520 0.1963191 4.332 1.48e-05 ***
ORIGIN_GRID_ID1496 2.2818008 0.1961654 11.632 < 2e-16 ***
ORIGIN_GRID_ID1497 1.8368912 0.1962514 9.360 < 2e-16 ***
ORIGIN_GRID_ID1498 1.8631246 0.1962437 9.494 < 2e-16 ***
ORIGIN_GRID_ID1499 2.0768919 0.1962190 10.585 < 2e-16 ***
ORIGIN_GRID_ID1500 1.9286218 0.1963726 9.821 < 2e-16 ***
ORIGIN_GRID_ID1501 2.2078050 0.1962111 11.252 < 2e-16 ***
ORIGIN_GRID_ID1502 1.7050875 0.1963062 8.686 < 2e-16 ***
ORIGIN_GRID_ID1506 -1.9752022 0.2545163 -7.761 8.45e-15 ***
ORIGIN_GRID_ID1514 -4.5735333 1.0190501 -4.488 7.19e-06 ***
ORIGIN_GRID_ID1515 0.1669724 0.1971645 0.847 0.397068
ORIGIN_GRID_ID1516 1.7283588 0.1962096 8.809 < 2e-16 ***
ORIGIN_GRID_ID1517 1.2561879 0.1963108 6.399 1.56e-10 ***
ORIGIN_GRID_ID1518 1.1464210 0.1964335 5.836 5.34e-09 ***
ORIGIN_GRID_ID1519 2.0491372 0.1963360 10.437 < 2e-16 ***
ORIGIN_GRID_ID1520 0.7291625 0.1965832 3.709 0.000208 ***
ORIGIN_GRID_ID1521 -0.4529381 0.1980455 -2.287 0.022193 *
ORIGIN_GRID_ID1522 2.2740027 0.1962212 11.589 < 2e-16 ***
ORIGIN_GRID_ID1523 1.2065786 0.1975764 6.107 1.02e-09 ***
ORIGIN_GRID_ID1524 1.0229146 0.1970004 5.192 2.08e-07 ***
ORIGIN_GRID_ID1527 0.3731328 0.1998711 1.867 0.061920 .
ORIGIN_GRID_ID1535 0.7402744 0.1982885 3.733 0.000189 ***
ORIGIN_GRID_ID1536 0.2573982 0.1971679 1.305 0.191730
ORIGIN_GRID_ID1537 0.5823928 0.1964846 2.964 0.003036 **
ORIGIN_GRID_ID1538 1.3858899 0.1962446 7.062 1.64e-12 ***
ORIGIN_GRID_ID1539 1.4377502 0.1962545 7.326 2.37e-13 ***
ORIGIN_GRID_ID1540 1.5774206 0.1962828 8.036 9.25e-16 ***
ORIGIN_GRID_ID1541 2.7312704 0.1963286 13.912 < 2e-16 ***
ORIGIN_GRID_ID1542 0.1696223 0.1977382 0.858 0.390996
ORIGIN_GRID_ID1543 0.6123938 0.1996773 3.067 0.002163 **
ORIGIN_GRID_ID1544 1.5625839 0.1965084 7.952 1.84e-15 ***
ORIGIN_GRID_ID1547 -0.5289436 0.2085971 -2.536 0.011222 *
ORIGIN_GRID_ID1556 -0.3607187 0.2037451 -1.770 0.076654 .
ORIGIN_GRID_ID1557 0.4140366 0.1970927 2.101 0.035666 *
ORIGIN_GRID_ID1558 -0.5773793 0.1986735 -2.906 0.003659 **
ORIGIN_GRID_ID1559 1.7279542 0.1962160 8.806 < 2e-16 ***
ORIGIN_GRID_ID1560 2.1230940 0.1962035 10.821 < 2e-16 ***
ORIGIN_GRID_ID1561 1.8651092 0.1963519 9.499 < 2e-16 ***
ORIGIN_GRID_ID1562 -0.3633170 0.1982167 -1.833 0.066813 .
ORIGIN_GRID_ID1563 0.8077381 0.1965596 4.109 3.97e-05 ***
ORIGIN_GRID_ID1564 0.2854558 0.1972468 1.447 0.147841
ORIGIN_GRID_ID1565 0.0857793 0.1976390 0.434 0.664274
ORIGIN_GRID_ID1566 -0.1439454 0.1988947 -0.724 0.469233
ORIGIN_GRID_ID1567 -1.4172216 0.2336475 -6.066 1.31e-09 ***
ORIGIN_GRID_ID1568 -0.6567702 0.2070441 -3.172 0.001513 **
ORIGIN_GRID_ID1578 -2.4327734 0.2531878 -9.609 < 2e-16 ***
ORIGIN_GRID_ID1580 0.4636200 0.1972004 2.351 0.018723 *
ORIGIN_GRID_ID1581 -0.7614534 0.1978063 -3.849 0.000118 ***
ORIGIN_GRID_ID1582 1.7820550 0.1962337 9.081 < 2e-16 ***
ORIGIN_GRID_ID1583 0.3310131 0.1998556 1.656 0.097669 .
ORIGIN_GRID_ID1584 0.4985218 0.1970105 2.530 0.011392 *
ORIGIN_GRID_ID1585 1.9282085 0.1963621 9.820 < 2e-16 ***
ORIGIN_GRID_ID1586 0.2676499 0.1973220 1.356 0.174968
ORIGIN_GRID_ID1589 -0.9506855 0.2145646 -4.431 9.39e-06 ***
ORIGIN_GRID_ID1590 -0.8252879 0.2129765 -3.875 0.000107 ***
ORIGIN_GRID_ID1600 2.0222819 0.1967554 10.278 < 2e-16 ***
ORIGIN_GRID_ID1601 1.0054803 0.1963501 5.121 3.04e-07 ***
ORIGIN_GRID_ID1602 1.4989427 0.1963499 7.634 2.28e-14 ***
ORIGIN_GRID_ID1603 2.0421965 0.1962377 10.407 < 2e-16 ***
ORIGIN_GRID_ID1604 0.7381109 0.1965642 3.755 0.000173 ***
ORIGIN_GRID_ID1605 1.9536435 0.1962466 9.955 < 2e-16 ***
ORIGIN_GRID_ID1606 1.8694263 0.1967043 9.504 < 2e-16 ***
ORIGIN_GRID_ID1607 0.4710302 0.1969992 2.391 0.016801 *
ORIGIN_GRID_ID1608 2.1478753 0.1962932 10.942 < 2e-16 ***
ORIGIN_GRID_ID1609 1.8707237 0.1964187 9.524 < 2e-16 ***
ORIGIN_GRID_ID1610 -0.7828322 0.2175130 -3.599 0.000319 ***
ORIGIN_GRID_ID1622 1.8709447 0.1972256 9.486 < 2e-16 ***
ORIGIN_GRID_ID1623 1.7854951 0.1962287 9.099 < 2e-16 ***
ORIGIN_GRID_ID1624 0.9325592 0.1965314 4.745 2.08e-06 ***
ORIGIN_GRID_ID1625 1.7478316 0.1963013 8.904 < 2e-16 ***
ORIGIN_GRID_ID1626 3.1102369 0.1961566 15.856 < 2e-16 ***
ORIGIN_GRID_ID1627 0.9101268 0.1965216 4.631 3.64e-06 ***
ORIGIN_GRID_ID1628 2.4474636 0.1962147 12.473 < 2e-16 ***
ORIGIN_GRID_ID1629 1.0168521 0.1967322 5.169 2.36e-07 ***
ORIGIN_GRID_ID1630 1.2656792 0.1966579 6.436 1.23e-10 ***
ORIGIN_GRID_ID1631 -1.4077998 0.2182585 -6.450 1.12e-10 ***
ORIGIN_GRID_ID1642 -0.2356558 0.2008883 -1.173 0.240768
ORIGIN_GRID_ID1643 1.6088064 0.1962556 8.198 2.45e-16 ***
ORIGIN_GRID_ID1644 -0.1010821 0.1980240 -0.510 0.609734
ORIGIN_GRID_ID1645 1.2429271 0.1964133 6.328 2.48e-10 ***
ORIGIN_GRID_ID1646 0.8492506 0.1969292 4.312 1.61e-05 ***
ORIGIN_GRID_ID1647 1.6709619 0.1962777 8.513 < 2e-16 ***
ORIGIN_GRID_ID1648 1.7052086 0.1963011 8.687 < 2e-16 ***
ORIGIN_GRID_ID1649 2.1514138 0.1962500 10.963 < 2e-16 ***
ORIGIN_GRID_ID1650 2.1606248 0.1963395 11.005 < 2e-16 ***
ORIGIN_GRID_ID1664 -1.3507544 0.2247446 -6.010 1.85e-09 ***
ORIGIN_GRID_ID1665 2.0278932 0.1962128 10.335 < 2e-16 ***
ORIGIN_GRID_ID1666 0.9338396 0.1964211 4.754 1.99e-06 ***
ORIGIN_GRID_ID1667 1.9027156 0.1968642 9.665 < 2e-16 ***
ORIGIN_GRID_ID1668 1.6845997 0.1962993 8.582 < 2e-16 ***
ORIGIN_GRID_ID1670 2.4356085 0.1962093 12.413 < 2e-16 ***
ORIGIN_GRID_ID1671 2.6476006 0.1963943 13.481 < 2e-16 ***
ORIGIN_GRID_ID1672 1.8663740 0.1964910 9.499 < 2e-16 ***
ORIGIN_GRID_ID1684 0.9427582 0.1972876 4.779 1.77e-06 ***
ORIGIN_GRID_ID1685 1.6044824 0.1963099 8.173 3.00e-16 ***
ORIGIN_GRID_ID1686 1.4512376 0.1963068 7.393 1.44e-13 ***
ORIGIN_GRID_ID1687 1.1503565 0.1966443 5.850 4.92e-09 ***
ORIGIN_GRID_ID1688 1.0482769 0.1965021 5.335 9.57e-08 ***
ORIGIN_GRID_ID1689 0.5447406 0.1968707 2.767 0.005658 **
ORIGIN_GRID_ID1690 1.0342650 0.1966765 5.259 1.45e-07 ***
ORIGIN_GRID_ID1691 1.9330576 0.1962879 9.848 < 2e-16 ***
ORIGIN_GRID_ID1692 1.0671456 0.1968031 5.422 5.88e-08 ***
ORIGIN_GRID_ID1706 1.5124075 0.1964121 7.700 1.36e-14 ***
ORIGIN_GRID_ID1707 1.3161808 0.1963089 6.705 2.02e-11 ***
ORIGIN_GRID_ID1708 1.7956421 0.1962679 9.149 < 2e-16 ***
ORIGIN_GRID_ID1709 1.1354283 0.1964658 5.779 7.50e-09 ***
ORIGIN_GRID_ID1710 1.9996880 0.1962822 10.188 < 2e-16 ***
ORIGIN_GRID_ID1711 2.7228950 0.1961954 13.878 < 2e-16 ***
ORIGIN_GRID_ID1712 2.5393352 0.1961882 12.943 < 2e-16 ***
ORIGIN_GRID_ID1713 -0.3452947 0.1979300 -1.745 0.081067 .
ORIGIN_GRID_ID1714 2.4222191 0.1962721 12.341 < 2e-16 ***
ORIGIN_GRID_ID1726 -1.7534249 0.5370879 -3.265 0.001096 **
ORIGIN_GRID_ID1727 1.4735178 0.1963552 7.504 6.17e-14 ***
ORIGIN_GRID_ID1728 2.1266392 0.1962168 10.838 < 2e-16 ***
ORIGIN_GRID_ID1729 1.1611029 0.1964024 5.912 3.38e-09 ***
ORIGIN_GRID_ID1730 -0.1990351 0.1985599 -1.002 0.316154
ORIGIN_GRID_ID1731 1.8570830 0.1963079 9.460 < 2e-16 ***
ORIGIN_GRID_ID1732 2.0825692 0.1962279 10.613 < 2e-16 ***
ORIGIN_GRID_ID1733 1.6157358 0.1963100 8.231 < 2e-16 ***
ORIGIN_GRID_ID1734 1.8072405 0.1962851 9.207 < 2e-16 ***
ORIGIN_GRID_ID1735 2.5402823 0.1965542 12.924 < 2e-16 ***
ORIGIN_GRID_ID1748 0.9076535 0.1965919 4.617 3.89e-06 ***
ORIGIN_GRID_ID1749 2.3024084 0.1961953 11.735 < 2e-16 ***
ORIGIN_GRID_ID1750 0.9562784 0.1964089 4.869 1.12e-06 ***
ORIGIN_GRID_ID1751 0.2638945 0.1972860 1.338 0.181019
ORIGIN_GRID_ID1753 2.0834404 0.1962534 10.616 < 2e-16 ***
ORIGIN_GRID_ID1754 2.8666052 0.1961698 14.613 < 2e-16 ***
ORIGIN_GRID_ID1755 2.0205113 0.1962452 10.296 < 2e-16 ***
ORIGIN_GRID_ID1756 1.6765695 0.1963413 8.539 < 2e-16 ***
ORIGIN_GRID_ID1757 -1.0804222 0.2062636 -5.238 1.62e-07 ***
ORIGIN_GRID_ID1768 -1.2502052 0.2444193 -5.115 3.14e-07 ***
ORIGIN_GRID_ID1769 1.3138860 0.1963760 6.691 2.22e-11 ***
ORIGIN_GRID_ID1770 1.9989431 0.1963858 10.179 < 2e-16 ***
ORIGIN_GRID_ID1771 0.6084526 0.1967988 3.092 0.001990 **
ORIGIN_GRID_ID1772 0.9814990 0.1987184 4.939 7.85e-07 ***
ORIGIN_GRID_ID1774 1.8866351 0.1962695 9.612 < 2e-16 ***
ORIGIN_GRID_ID1775 1.3617548 0.1963715 6.935 4.07e-12 ***
ORIGIN_GRID_ID1776 2.9840290 0.1961654 15.212 < 2e-16 ***
ORIGIN_GRID_ID1777 1.9519097 0.1962965 9.944 < 2e-16 ***
ORIGIN_GRID_ID1778 1.2217181 0.1972140 6.195 5.83e-10 ***
ORIGIN_GRID_ID1790 2.4170781 0.1962247 12.318 < 2e-16 ***
ORIGIN_GRID_ID1791 2.0125369 0.1962629 10.254 < 2e-16 ***
ORIGIN_GRID_ID1792 1.3692610 0.1965084 6.968 3.22e-12 ***
ORIGIN_GRID_ID1793 0.8889993 0.1966943 4.520 6.19e-06 ***
ORIGIN_GRID_ID1794 0.3177076 0.2055143 1.546 0.122125
ORIGIN_GRID_ID1795 -1.1905191 0.2056912 -5.788 7.13e-09 ***
ORIGIN_GRID_ID1796 2.0606532 0.1962770 10.499 < 2e-16 ***
ORIGIN_GRID_ID1797 2.0190736 0.1962445 10.289 < 2e-16 ***
ORIGIN_GRID_ID1798 1.9763609 0.1962643 10.070 < 2e-16 ***
ORIGIN_GRID_ID1799 1.0023026 0.1967561 5.094 3.50e-07 ***
ORIGIN_GRID_ID1800 0.3555420 0.2003241 1.775 0.075925 .
ORIGIN_GRID_ID1811 1.7059137 0.1963475 8.688 < 2e-16 ***
ORIGIN_GRID_ID1812 2.5382160 0.1961867 12.938 < 2e-16 ***
ORIGIN_GRID_ID1813 1.9186417 0.1962620 9.776 < 2e-16 ***
ORIGIN_GRID_ID1817 1.6031391 0.1964148 8.162 3.30e-16 ***
ORIGIN_GRID_ID1818 1.8570710 0.1962759 9.462 < 2e-16 ***
ORIGIN_GRID_ID1819 2.8377259 0.1961747 14.465 < 2e-16 ***
ORIGIN_GRID_ID1820 -0.2741550 0.2015168 -1.360 0.173685
ORIGIN_GRID_ID1832 2.9149671 0.1961898 14.858 < 2e-16 ***
ORIGIN_GRID_ID1833 1.3874908 0.1963719 7.066 1.60e-12 ***
ORIGIN_GRID_ID1834 1.3896582 0.1963582 7.077 1.47e-12 ***
ORIGIN_GRID_ID1835 0.7242904 0.1968111 3.680 0.000233 ***
ORIGIN_GRID_ID1837 0.0594943 0.2215877 0.268 0.788321
ORIGIN_GRID_ID1839 1.3798363 0.1964909 7.022 2.18e-12 ***
ORIGIN_GRID_ID1840 2.8420912 0.1961780 14.487 < 2e-16 ***
ORIGIN_GRID_ID1841 0.5334090 0.1978940 2.695 0.007030 **
ORIGIN_GRID_ID1842 2.4101885 0.1967892 12.248 < 2e-16 ***
ORIGIN_GRID_ID1853 1.6244027 0.1963214 8.274 < 2e-16 ***
ORIGIN_GRID_ID1854 2.0040931 0.1962752 10.211 < 2e-16 ***
ORIGIN_GRID_ID1855 1.9789808 0.1962859 10.082 < 2e-16 ***
ORIGIN_GRID_ID1858 0.6682117 0.2000690 3.340 0.000838 ***
ORIGIN_GRID_ID1860 2.0894231 0.1968240 10.616 < 2e-16 ***
ORIGIN_GRID_ID1861 1.9306277 0.1963167 9.834 < 2e-16 ***
ORIGIN_GRID_ID1874 1.9037275 0.1963960 9.693 < 2e-16 ***
ORIGIN_GRID_ID1875 0.1414998 0.1977411 0.716 0.474250
ORIGIN_GRID_ID1876 1.9803795 0.1972767 10.039 < 2e-16 ***
ORIGIN_GRID_ID1877 1.6571943 0.1963385 8.440 < 2e-16 ***
ORIGIN_GRID_ID1880 -0.2350374 0.2087850 -1.126 0.260276
ORIGIN_GRID_ID1882 2.0120486 0.1963192 10.249 < 2e-16 ***
ORIGIN_GRID_ID1883 1.4525068 0.1970709 7.370 1.70e-13 ***
ORIGIN_GRID_ID1895 1.8911266 0.1963061 9.634 < 2e-16 ***
ORIGIN_GRID_ID1896 1.3346586 0.1964512 6.794 1.09e-11 ***
ORIGIN_GRID_ID1897 1.4001691 0.1966037 7.122 1.07e-12 ***
ORIGIN_GRID_ID1898 -1.9746083 0.2221089 -8.890 < 2e-16 ***
ORIGIN_GRID_ID1901 -0.7166269 0.2168172 -3.305 0.000949 ***
ORIGIN_GRID_ID1903 1.0484784 0.1969926 5.322 1.02e-07 ***
ORIGIN_GRID_ID1916 -0.7324491 0.2085983 -3.511 0.000446 ***
ORIGIN_GRID_ID1917 1.1488352 0.1965620 5.845 5.08e-09 ***
ORIGIN_GRID_ID1918 2.1834877 0.1963848 11.118 < 2e-16 ***
ORIGIN_GRID_ID1919 1.7728513 0.1963331 9.030 < 2e-16 ***
ORIGIN_GRID_ID1922 0.2088522 0.2032523 1.028 0.304161
ORIGIN_GRID_ID1924 1.2485298 0.1969734 6.339 2.32e-10 ***
ORIGIN_GRID_ID1937 1.4517990 0.1964539 7.390 1.47e-13 ***
ORIGIN_GRID_ID1938 2.1120055 0.1962570 10.761 < 2e-16 ***
ORIGIN_GRID_ID1939 2.1933602 0.1962915 11.174 < 2e-16 ***
ORIGIN_GRID_ID1942 -0.3251328 0.2053435 -1.583 0.113339
ORIGIN_GRID_ID1958 -1.1858399 0.2773539 -4.276 1.91e-05 ***
ORIGIN_GRID_ID1959 1.2518635 0.1966096 6.367 1.92e-10 ***
ORIGIN_GRID_ID1960 3.5298987 0.1961438 17.996 < 2e-16 ***
ORIGIN_GRID_ID1961 1.2924564 0.1965877 6.574 4.88e-11 ***
ORIGIN_GRID_ID1962 2.1204867 0.1963177 10.801 < 2e-16 ***
ORIGIN_GRID_ID1964 -0.0340953 0.2063843 -0.165 0.868784
ORIGIN_GRID_ID1979 1.2709446 0.1966197 6.464 1.02e-10 ***
ORIGIN_GRID_ID1980 -0.3787670 0.1980797 -1.912 0.055851 .
ORIGIN_GRID_ID1981 1.7641462 0.1963129 8.986 < 2e-16 ***
ORIGIN_GRID_ID1982 1.2079259 0.1970471 6.130 8.78e-10 ***
ORIGIN_GRID_ID1983 2.2421171 0.1963022 11.422 < 2e-16 ***
ORIGIN_GRID_ID1984 1.0575511 0.1967513 5.375 7.66e-08 ***
ORIGIN_GRID_ID1985 1.2987559 0.1966249 6.605 3.97e-11 ***
ORIGIN_GRID_ID2001 1.6155234 0.1963832 8.226 < 2e-16 ***
ORIGIN_GRID_ID2002 2.1132251 0.1962342 10.769 < 2e-16 ***
ORIGIN_GRID_ID2003 1.9549876 0.1962885 9.960 < 2e-16 ***
ORIGIN_GRID_ID2004 2.8176704 0.1962163 14.360 < 2e-16 ***
ORIGIN_GRID_ID2005 2.1070506 0.1963001 10.734 < 2e-16 ***
ORIGIN_GRID_ID2006 1.6109356 0.1965167 8.197 2.46e-16 ***
ORIGIN_GRID_ID2007 0.0204821 0.1996974 0.103 0.918308
ORIGIN_GRID_ID2022 2.3034377 0.1963629 11.731 < 2e-16 ***
ORIGIN_GRID_ID2023 2.3436769 0.1962250 11.944 < 2e-16 ***
ORIGIN_GRID_ID2024 1.9762794 0.1962702 10.069 < 2e-16 ***
ORIGIN_GRID_ID2025 1.7544962 0.1963270 8.937 < 2e-16 ***
ORIGIN_GRID_ID2026 0.4413742 0.1974770 2.235 0.025413 *
ORIGIN_GRID_ID2027 2.5148067 0.1962517 12.814 < 2e-16 ***
ORIGIN_GRID_ID2043 1.3332676 0.1966054 6.781 1.19e-11 ***
ORIGIN_GRID_ID2044 1.9376601 0.1962945 9.871 < 2e-16 ***
ORIGIN_GRID_ID2045 -0.6344002 0.2121279 -2.991 0.002784 **
ORIGIN_GRID_ID2046 2.4274020 0.1961939 12.372 < 2e-16 ***
ORIGIN_GRID_ID2047 1.6805627 0.1963996 8.557 < 2e-16 ***
ORIGIN_GRID_ID2048 1.9603227 0.1963267 9.985 < 2e-16 ***
ORIGIN_GRID_ID2049 1.1076489 0.1980515 5.593 2.24e-08 ***
ORIGIN_GRID_ID2064 1.9117405 0.1963504 9.736 < 2e-16 ***
ORIGIN_GRID_ID2065 1.0484136 0.1965900 5.333 9.66e-08 ***
ORIGIN_GRID_ID2066 0.7547411 0.1989123 3.794 0.000148 ***
ORIGIN_GRID_ID2067 3.5822835 0.1961446 18.263 < 2e-16 ***
ORIGIN_GRID_ID2068 1.7160071 0.1966529 8.726 < 2e-16 ***
ORIGIN_GRID_ID2069 2.0774227 0.1963541 10.580 < 2e-16 ***
ORIGIN_GRID_ID2085 0.9709661 0.1968828 4.932 8.15e-07 ***
ORIGIN_GRID_ID2086 2.1811489 0.1962743 11.113 < 2e-16 ***
ORIGIN_GRID_ID2087 1.4746845 0.1964490 7.507 6.06e-14 ***
ORIGIN_GRID_ID2088 1.9079727 0.1962573 9.722 < 2e-16 ***
ORIGIN_GRID_ID2089 1.3088508 0.1965154 6.660 2.73e-11 ***
ORIGIN_GRID_ID2090 3.1580711 0.1961718 16.098 < 2e-16 ***
ORIGIN_GRID_ID2091 -0.1866827 0.2051476 -0.910 0.362827
ORIGIN_GRID_ID2105 0.6398282 0.2106654 3.037 0.002388 **
ORIGIN_GRID_ID2106 -0.0852185 0.1983477 -0.430 0.667456
ORIGIN_GRID_ID2107 0.9914236 0.1966518 5.042 4.62e-07 ***
ORIGIN_GRID_ID2108 2.1390796 0.1962934 10.897 < 2e-16 ***
ORIGIN_GRID_ID2109 1.7177295 0.1963067 8.750 < 2e-16 ***
ORIGIN_GRID_ID2110 1.1363587 0.1967137 5.777 7.62e-09 ***
ORIGIN_GRID_ID2111 -1.3709017 0.2199183 -6.234 4.56e-10 ***
ORIGIN_GRID_ID2128 0.9854397 0.1972487 4.996 5.86e-07 ***
ORIGIN_GRID_ID2129 0.5995653 0.1971145 3.042 0.002352 **
ORIGIN_GRID_ID2130 2.3191865 0.1962179 11.819 < 2e-16 ***
ORIGIN_GRID_ID2131 2.3770952 0.1962864 12.110 < 2e-16 ***
ORIGIN_GRID_ID2132 1.9976532 0.1963425 10.174 < 2e-16 ***
ORIGIN_GRID_ID2148 1.7486830 0.1968158 8.885 < 2e-16 ***
ORIGIN_GRID_ID2149 -0.4159011 0.1993635 -2.086 0.036966 *
ORIGIN_GRID_ID2150 2.0821793 0.1963110 10.607 < 2e-16 ***
ORIGIN_GRID_ID2151 2.5094624 0.1962082 12.790 < 2e-16 ***
ORIGIN_GRID_ID2152 2.7425225 0.1962191 13.977 < 2e-16 ***
ORIGIN_GRID_ID2153 2.1153504 0.1964240 10.769 < 2e-16 ***
ORIGIN_GRID_ID2171 1.4343280 0.1965246 7.298 2.91e-13 ***
ORIGIN_GRID_ID2172 1.2368524 0.1967159 6.288 3.23e-10 ***
ORIGIN_GRID_ID2173 1.5180494 0.1963998 7.729 1.08e-14 ***
ORIGIN_GRID_ID2174 2.0004162 0.1963915 10.186 < 2e-16 ***
ORIGIN_GRID_ID2191 1.1787600 0.1972187 5.977 2.27e-09 ***
ORIGIN_GRID_ID2192 0.8498889 0.1971703 4.310 1.63e-05 ***
ORIGIN_GRID_ID2193 1.4302785 0.1965316 7.278 3.40e-13 ***
ORIGIN_GRID_ID2194 2.1202942 0.1963120 10.801 < 2e-16 ***
ORIGIN_GRID_ID2195 1.3097732 0.2004579 6.534 6.41e-11 ***
ORIGIN_GRID_ID2212 0.5396640 0.2082994 2.591 0.009575 **
ORIGIN_GRID_ID2213 -0.7069193 0.2049896 -3.449 0.000564 ***
ORIGIN_GRID_ID2214 0.6934085 0.1988879 3.486 0.000490 ***
ORIGIN_GRID_ID2215 1.6587142 0.1965437 8.439 < 2e-16 ***
ORIGIN_GRID_ID2216 0.6225918 0.1973895 3.154 0.001610 **
ORIGIN_GRID_ID2233 0.2903891 0.2009978 1.445 0.148531
ORIGIN_GRID_ID2234 0.7749298 0.2004804 3.865 0.000111 ***
ORIGIN_GRID_ID2235 0.8310101 0.1976771 4.204 2.62e-05 ***
ORIGIN_GRID_ID2236 -0.2027957 0.1997324 -1.015 0.309945
ORIGIN_GRID_ID2237 -0.1377518 0.2069973 -0.665 0.505746
ORIGIN_GRID_ID2256 0.1463332 0.2044945 0.716 0.474248
ORIGIN_GRID_ID2257 0.4351184 0.1995195 2.181 0.029196 *
ORIGIN_GRID_ID2258 0.2781126 0.1980468 1.404 0.160236
ORIGIN_GRID_ID2259 0.7416653 0.2045214 3.626 0.000287 ***
ORIGIN_GRID_ID2277 0.0806344 0.2082411 0.387 0.698596
ORIGIN_GRID_ID2278 0.3517962 0.2004947 1.755 0.079321 .
ORIGIN_GRID_ID2279 0.1908484 0.1991914 0.958 0.338004
ORIGIN_GRID_ID2280 -0.1909173 0.2120269 -0.900 0.367887
ORIGIN_GRID_ID2297 1.9764912 0.1969104 10.038 < 2e-16 ***
ORIGIN_GRID_ID2300 -1.6639579 0.2495429 -6.668 2.59e-11 ***
ORIGIN_GRID_ID2301 0.0195853 0.1994702 0.098 0.921784
ORIGIN_GRID_ID2318 -0.0548515 0.2022853 -0.271 0.786269
ORIGIN_GRID_ID2319 2.2075778 0.1965492 11.232 < 2e-16 ***
ORIGIN_GRID_ID2322 2.6284523 0.1964097 13.382 < 2e-16 ***
ORIGIN_GRID_ID2337 3.5210338 0.1968514 17.887 < 2e-16 ***
ORIGIN_GRID_ID2341 2.7485379 0.1963910 13.995 < 2e-16 ***
ORIGIN_GRID_ID2343 1.5115861 0.1970080 7.673 1.68e-14 ***
ORIGIN_GRID_ID2361 1.8621163 0.1969212 9.456 < 2e-16 ***
ORIGIN_GRID_ID2364 0.1619485 0.2018541 0.802 0.422377
ORIGIN_GRID_ID2379 0.2934000 0.2124356 1.381 0.167241
ORIGIN_GRID_ID2384 1.7161765 0.1974322 8.692 < 2e-16 ***
ORIGIN_GRID_ID2405 1.5502562 0.1974167 7.853 4.07e-15 ***
ORIGIN_GRID_ID2406 0.4759735 0.2017033 2.360 0.018286 *
ORIGIN_GRID_ID2426 1.9102282 0.2014568 9.482 < 2e-16 ***
ORIGIN_GRID_ID2427 1.3938445 0.1981005 7.036 1.98e-12 ***
ORIGIN_GRID_ID2505 1.7579624 0.2068609 8.498 < 2e-16 ***
log(DESTIN_SCHOOL_COUNT) 0.0994597 0.0012569 79.131 < 2e-16 ***
log(DESTIN_HDB_DWELLING_UNIT) 0.0823915 0.0001388 593.638 < 2e-16 ***
log(DESTIN_FINSERV_COUNT) 0.3542054 0.0004688 755.539 < 2e-16 ***
log(DESTIN_MRT_EXIT_COUNT) 0.3981667 0.0007055 564.345 < 2e-16 ***
log(dist) -1.5068185 0.0004821 -3125.226 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 27023218 on 61607 degrees of freedom
Residual deviance: 8256438 on 60782 degrees of freedom
AIC: 8545745
Number of Fisher Scoring iterations: 7orcSIM$coefficients[822:826] log(DESTIN_SCHOOL_COUNT) log(DESTIN_HDB_DWELLING_UNIT)
0.09945969 0.08239152
log(DESTIN_FINSERV_COUNT) log(DESTIN_MRT_EXIT_COUNT)
0.35420537 0.39816669
log(dist)
-1.50681847 CalcRSquared(orcSIM$data$MORNING_PEAK, orcSIM$fitted.values)[1] 0.5169723From the above results, I noticed that most variables are statistically significant(p-value< 0.05) for ORIGIN_GRID_IDxxx but for log(DESTIN_SCHOOL_COUNT), log(DESTIN_HDB_DWELLING_UNIT), log(DESTIN_FINSERV_COUNT), log(DESTIN_MRT_EXIT_COUNT), log(dist), they are statistically significant(p-value< 0.05). The Rsquared is higher than unconstrained which is 0.52.
The most influential variables are distance, destination mrt exit count, destination finserv count with -1.51 , 0.40 , and 0.35 respectively.
14.7 Destination constrained SIM
Destination-constrained spatial interaction models concentrate on factors influencing the attractiveness and capacity of destinations to receive flows from various origins. These models highlight the characteristics and limitations at the destination points that affect the spatial interactions and the likelihood of being selected as destinations.
#|eval: false
flow_data_tidy$DESTIN_GRID_ID <- as.factor(flow_data_tidy$DESTIN_GRID_ID)
decSIM <- glm(formula = MORNING_PEAK ~
DESTIN_GRID_ID +
log(ORIGIN_HDB_DWELLING_UNIT) +
log(ORIGIN_FINSERV_COUNT)+
log(ORIGIN_MRT_EXIT_COUNT)+
log(dist),
family = poisson(link = "log"),
data = flow_data_tidy,
na.action = na.exclude)
write_rds(decSIM, "data/rds/decSIM.rds")decSIM <- read_rds("data/rds/decSIM.rds")
summary(decSIM)
Call:
glm(formula = MORNING_PEAK ~ DESTIN_GRID_ID + log(ORIGIN_HDB_DWELLING_UNIT) +
log(ORIGIN_FINSERV_COUNT) + log(ORIGIN_MRT_EXIT_COUNT) +
log(dist), family = poisson(link = "log"), data = flow_data_tidy,
na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 12.7596880 0.2000277 63.790 < 2e-16 ***
DESTIN_GRID_ID46 2.5825269 0.2119582 12.184 < 2e-16 ***
DESTIN_GRID_ID66 1.4968223 0.5385170 2.780 0.005444 **
DESTIN_GRID_ID67 1.1794795 0.2112068 5.584 2.34e-08 ***
DESTIN_GRID_ID68 2.3593268 0.2076891 11.360 < 2e-16 ***
DESTIN_GRID_ID86 2.2397622 0.2484743 9.014 < 2e-16 ***
DESTIN_GRID_ID88 2.0628597 0.2045772 10.084 < 2e-16 ***
DESTIN_GRID_ID89 2.0477485 0.2225398 9.202 < 2e-16 ***
DESTIN_GRID_ID90 -0.2935300 0.7348470 -0.399 0.689566
DESTIN_GRID_ID109 0.9842659 0.2751627 3.577 0.000348 ***
DESTIN_GRID_ID110 -1.6745123 0.4546061 -3.683 0.000230 ***
DESTIN_GRID_ID111 3.7302090 0.2008491 18.572 < 2e-16 ***
DESTIN_GRID_ID112 -1.2186172 0.3338092 -3.651 0.000262 ***
DESTIN_GRID_ID128 3.5449252 0.2022302 17.529 < 2e-16 ***
DESTIN_GRID_ID129 0.4366016 0.4062021 1.075 0.282447
DESTIN_GRID_ID130 2.2451816 0.2380484 9.432 < 2e-16 ***
DESTIN_GRID_ID131 0.3964222 0.2205010 1.798 0.072205 .
DESTIN_GRID_ID132 1.3176698 0.2148787 6.132 8.67e-10 ***
DESTIN_GRID_ID133 0.4066747 0.2258076 1.801 0.071706 .
DESTIN_GRID_ID134 3.6275678 0.2004765 18.095 < 2e-16 ***
DESTIN_GRID_ID150 1.8885985 0.2101133 8.988 < 2e-16 ***
DESTIN_GRID_ID151 0.5229914 0.2504544 2.088 0.036783 *
DESTIN_GRID_ID152 1.6411414 0.2380477 6.894 5.42e-12 ***
DESTIN_GRID_ID153 0.7310887 0.2158216 3.387 0.000705 ***
DESTIN_GRID_ID154 0.6699317 0.2148787 3.118 0.001823 **
DESTIN_GRID_ID155 2.0861261 0.2029752 10.278 < 2e-16 ***
DESTIN_GRID_ID156 0.4307942 0.2252836 1.912 0.055847 .
DESTIN_GRID_ID172 0.7520908 0.2751624 2.733 0.006271 **
DESTIN_GRID_ID174 0.1806273 0.2457809 0.735 0.462393
DESTIN_GRID_ID175 3.1051662 0.2006633 15.475 < 2e-16 ***
DESTIN_GRID_ID176 0.2628875 0.2137332 1.230 0.218705
DESTIN_GRID_ID195 -1.0930998 0.3201563 -3.414 0.000640 ***
DESTIN_GRID_ID196 0.1048363 0.2188015 0.479 0.631840
DESTIN_GRID_ID197 -0.3490798 0.2549511 -1.369 0.170936
DESTIN_GRID_ID215 1.1528120 0.2449491 4.706 2.52e-06 ***
DESTIN_GRID_ID216 2.7182367 0.2010719 13.519 < 2e-16 ***
DESTIN_GRID_ID217 1.2832568 0.2058528 6.234 4.55e-10 ***
DESTIN_GRID_ID237 -1.5438658 0.3338093 -4.625 3.75e-06 ***
DESTIN_GRID_ID238 0.1836266 0.2275189 0.807 0.419619
DESTIN_GRID_ID239 1.8590057 0.2132946 8.716 < 2e-16 ***
DESTIN_GRID_ID257 0.7553172 0.2130172 3.546 0.000391 ***
DESTIN_GRID_ID258 -0.2286744 0.2309403 -0.990 0.322082
DESTIN_GRID_ID259 0.0592809 0.2301893 0.258 0.796769
DESTIN_GRID_ID278 1.3161139 0.2142829 6.142 8.15e-10 ***
DESTIN_GRID_ID279 0.3627495 0.2152420 1.685 0.091929 .
DESTIN_GRID_ID280 1.1675365 0.2102844 5.552 2.82e-08 ***
DESTIN_GRID_ID299 0.6540200 0.2343617 2.791 0.005260 **
DESTIN_GRID_ID300 1.9144377 0.2029580 9.433 < 2e-16 ***
DESTIN_GRID_ID320 0.9643913 0.2223375 4.338 1.44e-05 ***
DESTIN_GRID_ID321 1.1212627 0.2889267 3.881 0.000104 ***
DESTIN_GRID_ID322 1.8762174 0.2147918 8.735 < 2e-16 ***
DESTIN_GRID_ID340 2.2435538 0.2065762 10.861 < 2e-16 ***
DESTIN_GRID_ID341 0.3076276 0.2236068 1.376 0.168898
DESTIN_GRID_ID342 1.3641086 0.2108663 6.469 9.86e-11 ***
DESTIN_GRID_ID363 1.7760678 0.2142830 8.288 < 2e-16 ***
DESTIN_GRID_ID364 1.1657533 0.2132246 5.467 4.57e-08 ***
DESTIN_GRID_ID383 1.1193200 0.2081665 5.377 7.57e-08 ***
DESTIN_GRID_ID384 1.4345118 0.2090878 6.861 6.85e-12 ***
DESTIN_GRID_ID385 -0.6736996 0.3091211 -2.179 0.029302 *
DESTIN_GRID_ID404 1.5555547 0.2166668 7.179 7.00e-13 ***
DESTIN_GRID_ID405 0.2724843 0.2272178 1.199 0.230442
DESTIN_GRID_ID406 3.7032091 0.2001586 18.501 < 2e-16 ***
DESTIN_GRID_ID407 2.6339173 0.2021169 13.032 < 2e-16 ***
DESTIN_GRID_ID408 3.5881069 0.2005494 17.891 < 2e-16 ***
DESTIN_GRID_ID425 -0.0189732 0.2504545 -0.076 0.939614
DESTIN_GRID_ID426 0.4318868 0.2275190 1.898 0.057664 .
DESTIN_GRID_ID427 1.0867697 0.2031028 5.351 8.75e-08 ***
DESTIN_GRID_ID428 1.7704739 0.2025209 8.742 < 2e-16 ***
DESTIN_GRID_ID429 2.6826300 0.2030982 13.209 < 2e-16 ***
DESTIN_GRID_ID446 0.9763138 0.2329939 4.190 2.79e-05 ***
DESTIN_GRID_ID447 -0.7001554 0.2504543 -2.796 0.005181 **
DESTIN_GRID_ID448 -0.5221645 0.2287927 -2.282 0.022474 *
DESTIN_GRID_ID449 2.6132044 0.2006164 13.026 < 2e-16 ***
DESTIN_GRID_ID450 2.2216945 0.2013643 11.033 < 2e-16 ***
DESTIN_GRID_ID468 0.9495497 0.2108192 4.504 6.67e-06 ***
DESTIN_GRID_ID469 0.3775465 0.2054232 1.838 0.066078 .
DESTIN_GRID_ID470 3.3894014 0.2002067 16.930 < 2e-16 ***
DESTIN_GRID_ID471 2.5615035 0.2016559 12.702 < 2e-16 ***
DESTIN_GRID_ID488 0.6558503 0.2309406 2.840 0.004513 **
DESTIN_GRID_ID489 -0.6881133 0.3511906 -1.959 0.050069 .
DESTIN_GRID_ID490 1.6685623 0.2025107 8.239 < 2e-16 ***
DESTIN_GRID_ID491 2.0055895 0.2008196 9.987 < 2e-16 ***
DESTIN_GRID_ID493 -1.3122835 0.4062034 -3.231 0.001235 **
DESTIN_GRID_ID494 1.6931206 0.2064752 8.200 2.40e-16 ***
DESTIN_GRID_ID509 0.2143528 0.2153358 0.995 0.319525
DESTIN_GRID_ID510 0.4205601 0.2143661 1.962 0.049777 *
DESTIN_GRID_ID511 1.4563869 0.2012190 7.238 4.56e-13 ***
DESTIN_GRID_ID512 3.5136424 0.2001346 17.556 < 2e-16 ***
DESTIN_GRID_ID513 0.4827115 0.2105906 2.292 0.021895 *
DESTIN_GRID_ID514 0.7785800 0.2206738 3.528 0.000418 ***
DESTIN_GRID_ID515 0.2119064 0.2475420 0.856 0.391975
DESTIN_GRID_ID530 0.9408976 0.2475427 3.801 0.000144 ***
DESTIN_GRID_ID531 1.0936042 0.2063430 5.300 1.16e-07 ***
DESTIN_GRID_ID532 0.5445289 0.2055056 2.650 0.008056 **
DESTIN_GRID_ID533 3.9888604 0.2000772 19.937 < 2e-16 ***
DESTIN_GRID_ID534 3.6673089 0.2001490 18.323 < 2e-16 ***
DESTIN_GRID_ID536 1.3528993 0.2056936 6.577 4.79e-11 ***
DESTIN_GRID_ID537 -0.4890120 0.2828431 -1.729 0.083824 .
DESTIN_GRID_ID538 -0.0748024 0.3043568 -0.246 0.805859
DESTIN_GRID_ID539 -0.5087918 0.7348470 -0.692 0.488700
DESTIN_GRID_ID551 0.1015246 0.2618623 0.388 0.698237
DESTIN_GRID_ID552 0.6798428 0.2380520 2.856 0.004292 **
DESTIN_GRID_ID553 0.5446333 0.2034593 2.677 0.007431 **
DESTIN_GRID_ID554 3.1126785 0.2001777 15.550 < 2e-16 ***
DESTIN_GRID_ID555 2.4474840 0.2010859 12.171 < 2e-16 ***
DESTIN_GRID_ID559 0.9408748 0.2189447 4.297 1.73e-05 ***
DESTIN_GRID_ID560 -0.4124360 0.3741685 -1.102 0.270343
DESTIN_GRID_ID561 -0.4071693 0.4276203 -0.952 0.341008
DESTIN_GRID_ID572 -2.1502777 0.7348476 -2.926 0.003432 **
DESTIN_GRID_ID573 0.9631568 0.2077131 4.637 3.54e-06 ***
DESTIN_GRID_ID574 1.4539752 0.2076921 7.001 2.55e-12 ***
DESTIN_GRID_ID575 5.0593677 0.2000214 25.294 < 2e-16 ***
DESTIN_GRID_ID576 2.7765758 0.2002805 13.863 < 2e-16 ***
DESTIN_GRID_ID578 -0.5907125 0.2669281 -2.213 0.026897 *
DESTIN_GRID_ID582 0.0189186 0.2857770 0.066 0.947218
DESTIN_GRID_ID583 1.1867355 0.2484781 4.776 1.79e-06 ***
DESTIN_GRID_ID584 1.6546501 0.2309447 7.165 7.80e-13 ***
DESTIN_GRID_ID593 -0.6567919 0.2857754 -2.298 0.021546 *
DESTIN_GRID_ID594 0.8278134 0.2116245 3.912 9.16e-05 ***
DESTIN_GRID_ID595 0.2158609 0.2058270 1.049 0.294294
DESTIN_GRID_ID596 2.7930495 0.2001981 13.951 < 2e-16 ***
DESTIN_GRID_ID597 -0.9404193 0.2363786 -3.978 6.94e-05 ***
DESTIN_GRID_ID603 -0.1936547 0.3143638 -0.616 0.537881
DESTIN_GRID_ID604 0.6663337 0.2729189 2.442 0.014626 *
DESTIN_GRID_ID615 -0.6292348 0.2294746 -2.742 0.006105 **
DESTIN_GRID_ID616 0.8161172 0.2058000 3.966 7.32e-05 ***
DESTIN_GRID_ID617 0.5274458 0.2026698 2.602 0.009255 **
DESTIN_GRID_ID618 3.3375836 0.2001446 16.676 < 2e-16 ***
DESTIN_GRID_ID620 0.6226951 0.2143670 2.905 0.003675 **
DESTIN_GRID_ID637 0.0259425 0.2107274 0.123 0.902020
DESTIN_GRID_ID638 3.1388557 0.2001434 15.683 < 2e-16 ***
DESTIN_GRID_ID657 0.2308392 0.2082487 1.108 0.267655
DESTIN_GRID_ID658 1.7904137 0.2007570 8.918 < 2e-16 ***
DESTIN_GRID_ID659 2.6273694 0.2003082 13.117 < 2e-16 ***
DESTIN_GRID_ID660 3.7491606 0.2000805 18.738 < 2e-16 ***
DESTIN_GRID_ID662 3.5830402 0.2004482 17.875 < 2e-16 ***
DESTIN_GRID_ID677 0.6130944 0.2135853 2.870 0.004098 **
DESTIN_GRID_ID678 -0.5645305 0.2147923 -2.628 0.008582 **
DESTIN_GRID_ID679 3.2687704 0.2001506 16.332 < 2e-16 ***
DESTIN_GRID_ID680 4.0770419 0.2000600 20.379 < 2e-16 ***
DESTIN_GRID_ID681 2.1208782 0.2010248 10.550 < 2e-16 ***
DESTIN_GRID_ID699 0.9979949 0.2049993 4.868 1.13e-06 ***
DESTIN_GRID_ID700 2.9715013 0.2002649 14.838 < 2e-16 ***
DESTIN_GRID_ID701 1.8501420 0.2007884 9.214 < 2e-16 ***
DESTIN_GRID_ID702 3.4589811 0.2001057 17.286 < 2e-16 ***
DESTIN_GRID_ID704 0.4751448 0.2105912 2.256 0.024055 *
DESTIN_GRID_ID722 1.2855878 0.2014716 6.381 1.76e-10 ***
DESTIN_GRID_ID725 0.4822795 0.2079864 2.319 0.020406 *
DESTIN_GRID_ID730 1.4608123 0.2242984 6.513 7.38e-11 ***
DESTIN_GRID_ID741 2.1555055 0.2013155 10.707 < 2e-16 ***
DESTIN_GRID_ID743 0.9601493 0.2015085 4.765 1.89e-06 ***
DESTIN_GRID_ID744 2.9474090 0.2001817 14.724 < 2e-16 ***
DESTIN_GRID_ID752 1.9404436 0.2063108 9.405 < 2e-16 ***
DESTIN_GRID_ID761 0.7949552 0.2093966 3.796 0.000147 ***
DESTIN_GRID_ID762 2.2826829 0.2007883 11.369 < 2e-16 ***
DESTIN_GRID_ID763 0.6603103 0.2022502 3.265 0.001095 **
DESTIN_GRID_ID764 3.5746515 0.2000823 17.866 < 2e-16 ***
DESTIN_GRID_ID765 1.4742202 0.2016417 7.311 2.65e-13 ***
DESTIN_GRID_ID767 3.4200093 0.2002087 17.082 < 2e-16 ***
DESTIN_GRID_ID772 2.1692262 0.2030007 10.686 < 2e-16 ***
DESTIN_GRID_ID784 0.3877921 0.2044331 1.897 0.057839 .
DESTIN_GRID_ID785 2.5925878 0.2002052 12.950 < 2e-16 ***
DESTIN_GRID_ID786 1.9454135 0.2004270 9.706 < 2e-16 ***
DESTIN_GRID_ID787 2.0796137 0.2009847 10.347 < 2e-16 ***
DESTIN_GRID_ID788 2.7192982 0.2004130 13.568 < 2e-16 ***
DESTIN_GRID_ID789 1.5667089 0.2015295 7.774 7.60e-15 ***
DESTIN_GRID_ID803 -0.9096529 0.2433751 -3.738 0.000186 ***
DESTIN_GRID_ID804 3.2695317 0.2002132 16.330 < 2e-16 ***
DESTIN_GRID_ID805 4.1377628 0.2000454 20.684 < 2e-16 ***
DESTIN_GRID_ID806 2.5739305 0.2002199 12.856 < 2e-16 ***
DESTIN_GRID_ID807 3.2586879 0.2001935 16.278 < 2e-16 ***
DESTIN_GRID_ID808 1.0798000 0.2029849 5.320 1.04e-07 ***
DESTIN_GRID_ID809 3.2910956 0.2001247 16.445 < 2e-16 ***
DESTIN_GRID_ID810 2.7325192 0.2003626 13.638 < 2e-16 ***
DESTIN_GRID_ID814 2.1653771 0.2025404 10.691 < 2e-16 ***
DESTIN_GRID_ID819 6.9530418 0.2023028 34.369 < 2e-16 ***
DESTIN_GRID_ID824 0.1809550 0.2172438 0.833 0.404868
DESTIN_GRID_ID826 0.8931909 0.2014256 4.434 9.24e-06 ***
DESTIN_GRID_ID827 2.9528634 0.2001765 14.751 < 2e-16 ***
DESTIN_GRID_ID828 2.9679157 0.2001440 14.829 < 2e-16 ***
DESTIN_GRID_ID829 2.7540160 0.2002770 13.751 < 2e-16 ***
DESTIN_GRID_ID830 2.4536324 0.2004566 12.240 < 2e-16 ***
DESTIN_GRID_ID831 4.5369344 0.2000366 22.681 < 2e-16 ***
DESTIN_GRID_ID832 4.2085045 0.2001113 21.031 < 2e-16 ***
DESTIN_GRID_ID835 -0.3539814 0.2343620 -1.510 0.130940
DESTIN_GRID_ID844 -0.9212616 0.2889281 -3.189 0.001430 **
DESTIN_GRID_ID846 2.6053243 0.2003030 13.007 < 2e-16 ***
DESTIN_GRID_ID847 3.3709475 0.2001364 16.843 < 2e-16 ***
DESTIN_GRID_ID848 2.5529277 0.2002431 12.749 < 2e-16 ***
DESTIN_GRID_ID849 1.7567563 0.2005683 8.759 < 2e-16 ***
DESTIN_GRID_ID850 2.7824850 0.2002141 13.898 < 2e-16 ***
DESTIN_GRID_ID851 2.8700495 0.2001712 14.338 < 2e-16 ***
DESTIN_GRID_ID852 2.4124257 0.2004003 12.038 < 2e-16 ***
DESTIN_GRID_ID853 4.1937480 0.2001436 20.954 < 2e-16 ***
DESTIN_GRID_ID854 0.0709483 0.2238333 0.317 0.751267
DESTIN_GRID_ID855 -0.7549897 0.2369159 -3.187 0.001439 **
DESTIN_GRID_ID856 1.1157242 0.2059222 5.418 6.02e-08 ***
DESTIN_GRID_ID866 1.1908274 0.2054227 5.797 6.75e-09 ***
DESTIN_GRID_ID867 1.5029431 0.2014939 7.459 8.72e-14 ***
DESTIN_GRID_ID868 2.0085457 0.2008557 10.000 < 2e-16 ***
DESTIN_GRID_ID869 2.7221787 0.2006764 13.565 < 2e-16 ***
DESTIN_GRID_ID870 4.0395238 0.2000480 20.193 < 2e-16 ***
DESTIN_GRID_ID871 3.8672095 0.2001525 19.321 < 2e-16 ***
DESTIN_GRID_ID872 0.9392153 0.2015097 4.661 3.15e-06 ***
DESTIN_GRID_ID873 2.4090878 0.2006138 12.009 < 2e-16 ***
DESTIN_GRID_ID874 1.4386151 0.2011538 7.152 8.56e-13 ***
DESTIN_GRID_ID875 -0.6965991 0.2575189 -2.705 0.006830 **
DESTIN_GRID_ID876 -0.2283659 0.2238335 -1.020 0.307610
DESTIN_GRID_ID877 1.7947328 0.2029936 8.841 < 2e-16 ***
DESTIN_GRID_ID887 1.6105637 0.2012612 8.002 1.22e-15 ***
DESTIN_GRID_ID888 2.0166069 0.2006392 10.051 < 2e-16 ***
DESTIN_GRID_ID889 0.0067489 0.2108200 0.032 0.974462
DESTIN_GRID_ID890 3.1254260 0.2001452 15.616 < 2e-16 ***
DESTIN_GRID_ID891 1.9161092 0.2011862 9.524 < 2e-16 ***
DESTIN_GRID_ID893 3.1660975 0.2001284 15.820 < 2e-16 ***
DESTIN_GRID_ID894 0.8633914 0.2018637 4.277 1.89e-05 ***
DESTIN_GRID_ID895 1.2149505 0.2026834 5.994 2.04e-09 ***
DESTIN_GRID_ID896 0.2745113 0.2120749 1.294 0.195525
DESTIN_GRID_ID897 1.0412193 0.2034290 5.118 3.08e-07 ***
DESTIN_GRID_ID898 0.9257907 0.2090550 4.428 9.49e-06 ***
DESTIN_GRID_ID908 2.0285641 0.2025437 10.015 < 2e-16 ***
DESTIN_GRID_ID909 2.2258872 0.2003429 11.110 < 2e-16 ***
DESTIN_GRID_ID910 -0.4213734 0.2082495 -2.023 0.043031 *
DESTIN_GRID_ID911 2.1520248 0.2005305 10.732 < 2e-16 ***
DESTIN_GRID_ID912 2.9000561 0.2001921 14.486 < 2e-16 ***
DESTIN_GRID_ID915 2.8487762 0.2002001 14.230 < 2e-16 ***
DESTIN_GRID_ID917 2.7583866 0.2005444 13.754 < 2e-16 ***
DESTIN_GRID_ID918 -0.4582939 0.2305609 -1.988 0.046841 *
DESTIN_GRID_ID919 1.3556476 0.2023927 6.698 2.11e-11 ***
DESTIN_GRID_ID928 2.1799683 0.2009787 10.847 < 2e-16 ***
DESTIN_GRID_ID929 2.6945063 0.2002176 13.458 < 2e-16 ***
DESTIN_GRID_ID930 3.5103284 0.2000780 17.545 < 2e-16 ***
DESTIN_GRID_ID931 0.2796061 0.2055678 1.360 0.173778
DESTIN_GRID_ID932 0.8411966 0.2042897 4.118 3.83e-05 ***
DESTIN_GRID_ID933 2.5139802 0.2004507 12.542 < 2e-16 ***
DESTIN_GRID_ID934 -0.1151168 0.2064431 -0.558 0.577104
DESTIN_GRID_ID935 4.5759095 0.2000317 22.876 < 2e-16 ***
DESTIN_GRID_ID938 -1.6849503 0.4062021 -4.148 3.35e-05 ***
DESTIN_GRID_ID939 4.3292629 0.2000968 21.636 < 2e-16 ***
DESTIN_GRID_ID940 -0.6613977 0.2466460 -2.682 0.007328 **
DESTIN_GRID_ID949 1.9335444 0.2009089 9.624 < 2e-16 ***
DESTIN_GRID_ID950 3.6597308 0.2001410 18.286 < 2e-16 ***
DESTIN_GRID_ID951 4.4010960 0.2000339 22.002 < 2e-16 ***
DESTIN_GRID_ID952 0.6551162 0.2058017 3.183 0.001456 **
DESTIN_GRID_ID953 1.9395402 0.2009752 9.651 < 2e-16 ***
DESTIN_GRID_ID954 0.6409854 0.2025813 3.164 0.001556 **
DESTIN_GRID_ID955 3.3800494 0.2001566 16.887 < 2e-16 ***
DESTIN_GRID_ID956 1.3402277 0.2011181 6.664 2.67e-11 ***
DESTIN_GRID_ID957 3.1586325 0.2002156 15.776 < 2e-16 ***
DESTIN_GRID_ID959 0.5090102 0.2210196 2.303 0.021278 *
DESTIN_GRID_ID961 0.5453783 0.2062812 2.644 0.008197 **
DESTIN_GRID_ID962 4.7367004 0.2001148 23.670 < 2e-16 ***
DESTIN_GRID_ID970 2.2458305 0.2004400 11.205 < 2e-16 ***
DESTIN_GRID_ID971 2.9342827 0.2001276 14.662 < 2e-16 ***
DESTIN_GRID_ID972 2.8251432 0.2001936 14.112 < 2e-16 ***
DESTIN_GRID_ID974 2.2493496 0.2005417 11.216 < 2e-16 ***
DESTIN_GRID_ID975 1.6503378 0.2010411 8.209 2.23e-16 ***
DESTIN_GRID_ID976 1.5868221 0.2011323 7.889 3.04e-15 ***
DESTIN_GRID_ID977 3.0417019 0.2001592 15.196 < 2e-16 ***
DESTIN_GRID_ID978 2.8968992 0.2004308 14.453 < 2e-16 ***
DESTIN_GRID_ID982 0.7614180 0.2027104 3.756 0.000173 ***
DESTIN_GRID_ID983 8.2241164 0.2000804 41.104 < 2e-16 ***
DESTIN_GRID_ID984 7.6767232 0.2000567 38.373 < 2e-16 ***
DESTIN_GRID_ID991 2.3190798 0.2005201 11.565 < 2e-16 ***
DESTIN_GRID_ID992 2.4873155 0.2003246 12.416 < 2e-16 ***
DESTIN_GRID_ID993 1.6525418 0.2006100 8.238 < 2e-16 ***
DESTIN_GRID_ID994 1.8670736 0.2006140 9.307 < 2e-16 ***
DESTIN_GRID_ID995 2.5820641 0.2003115 12.890 < 2e-16 ***
DESTIN_GRID_ID996 1.9901354 0.2007703 9.912 < 2e-16 ***
DESTIN_GRID_ID997 1.4298220 0.2042011 7.002 2.52e-12 ***
DESTIN_GRID_ID998 3.5037886 0.2001411 17.507 < 2e-16 ***
DESTIN_GRID_ID999 3.0301237 0.2003201 15.126 < 2e-16 ***
DESTIN_GRID_ID1001 1.0701822 0.2069425 5.171 2.32e-07 ***
DESTIN_GRID_ID1003 3.8536536 0.2001037 19.258 < 2e-16 ***
DESTIN_GRID_ID1004 4.1007817 0.2000942 20.494 < 2e-16 ***
DESTIN_GRID_ID1011 0.7791637 0.2072453 3.760 0.000170 ***
DESTIN_GRID_ID1012 2.3413496 0.2009280 11.653 < 2e-16 ***
DESTIN_GRID_ID1013 1.3747685 0.2011229 6.835 8.17e-12 ***
DESTIN_GRID_ID1014 1.3435403 0.2010316 6.683 2.34e-11 ***
DESTIN_GRID_ID1015 0.6239035 0.2026055 3.079 0.002074 **
DESTIN_GRID_ID1016 3.7209236 0.2001077 18.595 < 2e-16 ***
DESTIN_GRID_ID1018 2.0354253 0.2013287 10.110 < 2e-16 ***
DESTIN_GRID_ID1019 3.3650433 0.2001891 16.809 < 2e-16 ***
DESTIN_GRID_ID1023 2.2695456 0.2008355 11.301 < 2e-16 ***
DESTIN_GRID_ID1024 3.0821031 0.2002360 15.392 < 2e-16 ***
DESTIN_GRID_ID1025 0.4233703 0.2070218 2.045 0.040850 *
DESTIN_GRID_ID1033 1.4840571 0.2012455 7.374 1.65e-13 ***
DESTIN_GRID_ID1034 2.2429696 0.2003950 11.193 < 2e-16 ***
DESTIN_GRID_ID1035 2.6358081 0.2002529 13.162 < 2e-16 ***
DESTIN_GRID_ID1036 2.5580495 0.2003130 12.770 < 2e-16 ***
DESTIN_GRID_ID1037 2.6949560 0.2002301 13.459 < 2e-16 ***
DESTIN_GRID_ID1043 2.5964444 0.2012757 12.900 < 2e-16 ***
DESTIN_GRID_ID1045 3.2028486 0.2001585 16.002 < 2e-16 ***
DESTIN_GRID_ID1046 3.2212984 0.2002581 16.086 < 2e-16 ***
DESTIN_GRID_ID1053 2.8854516 0.2002781 14.407 < 2e-16 ***
DESTIN_GRID_ID1054 1.7134461 0.2006800 8.538 < 2e-16 ***
DESTIN_GRID_ID1055 2.6569127 0.2002521 13.268 < 2e-16 ***
DESTIN_GRID_ID1056 1.7576093 0.2007109 8.757 < 2e-16 ***
DESTIN_GRID_ID1064 -0.3599486 0.2729159 -1.319 0.187203
DESTIN_GRID_ID1066 3.7560651 0.2001136 18.770 < 2e-16 ***
DESTIN_GRID_ID1067 -1.5264489 0.2801116 -5.449 5.05e-08 ***
DESTIN_GRID_ID1074 2.0876159 0.2006441 10.405 < 2e-16 ***
DESTIN_GRID_ID1075 0.7354855 0.2025575 3.631 0.000282 ***
DESTIN_GRID_ID1076 0.9579826 0.2011102 4.763 1.90e-06 ***
DESTIN_GRID_ID1077 1.4553908 0.2008433 7.246 4.28e-13 ***
DESTIN_GRID_ID1079 2.9817050 0.2002228 14.892 < 2e-16 ***
DESTIN_GRID_ID1085 -0.6731117 0.3091215 -2.177 0.029443 *
DESTIN_GRID_ID1087 2.7757269 0.2003249 13.856 < 2e-16 ***
DESTIN_GRID_ID1088 1.3259177 0.2017437 6.572 4.95e-11 ***
DESTIN_GRID_ID1094 -0.0438293 0.2105912 -0.208 0.835131
DESTIN_GRID_ID1095 0.7458049 0.2078101 3.589 0.000332 ***
DESTIN_GRID_ID1096 -0.1205974 0.2114139 -0.570 0.568384
DESTIN_GRID_ID1097 3.1204334 0.2001200 15.593 < 2e-16 ***
DESTIN_GRID_ID1098 0.7889716 0.2030461 3.886 0.000102 ***
DESTIN_GRID_ID1099 2.2514698 0.2004187 11.234 < 2e-16 ***
DESTIN_GRID_ID1105 3.7042060 0.2006742 18.459 < 2e-16 ***
DESTIN_GRID_ID1106 -0.6217078 0.2634616 -2.360 0.018286 *
DESTIN_GRID_ID1107 2.2845603 0.2008809 11.373 < 2e-16 ***
DESTIN_GRID_ID1108 5.0075825 0.2000232 25.035 < 2e-16 ***
DESTIN_GRID_ID1109 0.8618805 0.2061574 4.181 2.91e-05 ***
DESTIN_GRID_ID1116 1.4507348 0.2012667 7.208 5.68e-13 ***
DESTIN_GRID_ID1117 1.1443408 0.2015436 5.678 1.36e-08 ***
DESTIN_GRID_ID1118 1.3710197 0.2012810 6.811 9.66e-12 ***
DESTIN_GRID_ID1119 1.7036749 0.2005564 8.495 < 2e-16 ***
DESTIN_GRID_ID1120 1.5778590 0.2013880 7.835 4.69e-15 ***
DESTIN_GRID_ID1129 3.1575029 0.2002325 15.769 < 2e-16 ***
DESTIN_GRID_ID1130 3.1524903 0.2001984 15.747 < 2e-16 ***
DESTIN_GRID_ID1131 2.4554521 0.2012619 12.200 < 2e-16 ***
DESTIN_GRID_ID1136 1.1436890 0.2017687 5.668 1.44e-08 ***
DESTIN_GRID_ID1138 0.3176592 0.2045058 1.553 0.120351
DESTIN_GRID_ID1139 2.5952456 0.2001933 12.964 < 2e-16 ***
DESTIN_GRID_ID1141 2.2845905 0.2004079 11.400 < 2e-16 ***
DESTIN_GRID_ID1148 -0.2284607 0.2348448 -0.973 0.330645
DESTIN_GRID_ID1149 1.7663529 0.2023929 8.727 < 2e-16 ***
DESTIN_GRID_ID1150 3.2444568 0.2001444 16.211 < 2e-16 ***
DESTIN_GRID_ID1151 2.2110085 0.2006290 11.020 < 2e-16 ***
DESTIN_GRID_ID1158 0.9560648 0.2012949 4.750 2.04e-06 ***
DESTIN_GRID_ID1159 2.1477542 0.2003019 10.723 < 2e-16 ***
DESTIN_GRID_ID1160 3.0692656 0.2001180 15.337 < 2e-16 ***
DESTIN_GRID_ID1171 3.4048413 0.2001814 17.009 < 2e-16 ***
DESTIN_GRID_ID1172 4.0816585 0.2000752 20.401 < 2e-16 ***
DESTIN_GRID_ID1173 1.3189740 0.2021809 6.524 6.86e-11 ***
DESTIN_GRID_ID1178 2.0380574 0.2004401 10.168 < 2e-16 ***
DESTIN_GRID_ID1179 2.7173108 0.2001632 13.575 < 2e-16 ***
DESTIN_GRID_ID1180 2.8699500 0.2001279 14.341 < 2e-16 ***
DESTIN_GRID_ID1181 1.9927474 0.2003558 9.946 < 2e-16 ***
DESTIN_GRID_ID1183 1.3087395 0.2013832 6.499 8.10e-11 ***
DESTIN_GRID_ID1190 1.6519037 0.2057340 8.029 9.80e-16 ***
DESTIN_GRID_ID1192 2.9680982 0.2002926 14.819 < 2e-16 ***
DESTIN_GRID_ID1193 2.4486107 0.2004321 12.217 < 2e-16 ***
DESTIN_GRID_ID1194 0.8575160 0.2041321 4.201 2.66e-05 ***
DESTIN_GRID_ID1200 2.0039817 0.2004465 9.998 < 2e-16 ***
DESTIN_GRID_ID1201 2.6767182 0.2002004 13.370 < 2e-16 ***
DESTIN_GRID_ID1203 2.1576472 0.2003782 10.768 < 2e-16 ***
DESTIN_GRID_ID1204 1.6409069 0.2007854 8.172 3.02e-16 ***
DESTIN_GRID_ID1211 -0.5112497 0.3091206 -1.654 0.098151 .
DESTIN_GRID_ID1214 2.9563148 0.2002399 14.764 < 2e-16 ***
DESTIN_GRID_ID1215 -0.6976232 0.2392535 -2.916 0.003547 **
DESTIN_GRID_ID1216 1.0240063 0.2073511 4.939 7.87e-07 ***
DESTIN_GRID_ID1220 2.6935653 0.2002073 13.454 < 2e-16 ***
DESTIN_GRID_ID1221 2.5869014 0.2001686 12.924 < 2e-16 ***
DESTIN_GRID_ID1222 2.1712981 0.2008028 10.813 < 2e-16 ***
DESTIN_GRID_ID1223 1.6547372 0.2007227 8.244 < 2e-16 ***
DESTIN_GRID_ID1224 1.9648381 0.2005263 9.798 < 2e-16 ***
DESTIN_GRID_ID1231 0.9200112 0.2092558 4.397 1.10e-05 ***
DESTIN_GRID_ID1232 0.7931685 0.2140431 3.706 0.000211 ***
DESTIN_GRID_ID1235 0.5402456 0.2028790 2.663 0.007747 **
DESTIN_GRID_ID1236 1.8295943 0.2013751 9.086 < 2e-16 ***
DESTIN_GRID_ID1241 1.5425963 0.2008108 7.682 1.57e-14 ***
DESTIN_GRID_ID1242 1.9778760 0.2003893 9.870 < 2e-16 ***
DESTIN_GRID_ID1243 2.5938154 0.2001796 12.957 < 2e-16 ***
DESTIN_GRID_ID1246 2.3753506 0.2003231 11.858 < 2e-16 ***
DESTIN_GRID_ID1256 1.8227903 0.2008182 9.077 < 2e-16 ***
DESTIN_GRID_ID1257 2.5423216 0.2005703 12.675 < 2e-16 ***
DESTIN_GRID_ID1258 1.5833745 0.2022967 7.827 5.00e-15 ***
DESTIN_GRID_ID1262 1.1216441 0.2010881 5.578 2.43e-08 ***
DESTIN_GRID_ID1263 2.9279806 0.2001115 14.632 < 2e-16 ***
DESTIN_GRID_ID1264 1.6426713 0.2007501 8.183 2.78e-16 ***
DESTIN_GRID_ID1265 1.7106817 0.2007541 8.521 < 2e-16 ***
DESTIN_GRID_ID1266 2.0211123 0.2005597 10.077 < 2e-16 ***
DESTIN_GRID_ID1267 1.5826393 0.2014073 7.858 3.91e-15 ***
DESTIN_GRID_ID1272 -0.9430819 0.2588963 -3.643 0.000270 ***
DESTIN_GRID_ID1273 2.0310860 0.2010380 10.103 < 2e-16 ***
DESTIN_GRID_ID1277 3.4261481 0.2001354 17.119 < 2e-16 ***
DESTIN_GRID_ID1278 1.2274134 0.2018172 6.082 1.19e-09 ***
DESTIN_GRID_ID1283 4.1874104 0.2000482 20.932 < 2e-16 ***
DESTIN_GRID_ID1284 2.5743601 0.2001822 12.860 < 2e-16 ***
DESTIN_GRID_ID1285 3.0859431 0.2001056 15.422 < 2e-16 ***
DESTIN_GRID_ID1286 1.2231965 0.2011808 6.080 1.20e-09 ***
DESTIN_GRID_ID1289 -0.2763292 0.2123743 -1.301 0.193210
DESTIN_GRID_ID1293 -0.4777559 0.2294751 -2.082 0.037347 *
DESTIN_GRID_ID1294 3.0279256 0.2004051 15.109 < 2e-16 ***
DESTIN_GRID_ID1295 1.0035194 0.2036349 4.928 8.31e-07 ***
DESTIN_GRID_ID1298 2.1364042 0.2004982 10.655 < 2e-16 ***
DESTIN_GRID_ID1299 2.9383517 0.2003397 14.667 < 2e-16 ***
DESTIN_GRID_ID1304 2.9127493 0.2001572 14.552 < 2e-16 ***
DESTIN_GRID_ID1305 2.5977245 0.2001370 12.980 < 2e-16 ***
DESTIN_GRID_ID1307 1.2851837 0.2033618 6.320 2.62e-10 ***
DESTIN_GRID_ID1308 2.5094853 0.2002745 12.530 < 2e-16 ***
DESTIN_GRID_ID1310 -1.2827485 0.2562064 -5.007 5.54e-07 ***
DESTIN_GRID_ID1316 0.3397694 0.2055192 1.653 0.098285 .
DESTIN_GRID_ID1317 1.0926355 0.2016121 5.419 5.98e-08 ***
DESTIN_GRID_ID1318 0.5559931 0.2030845 2.738 0.006186 **
DESTIN_GRID_ID1319 3.9800606 0.2000803 19.892 < 2e-16 ***
DESTIN_GRID_ID1320 1.6797167 0.2015661 8.333 < 2e-16 ***
DESTIN_GRID_ID1324 3.0740039 0.2011179 15.285 < 2e-16 ***
DESTIN_GRID_ID1325 0.9513370 0.2013445 4.725 2.30e-06 ***
DESTIN_GRID_ID1326 2.4970078 0.2001733 12.474 < 2e-16 ***
DESTIN_GRID_ID1327 2.4134606 0.2001876 12.056 < 2e-16 ***
DESTIN_GRID_ID1328 1.8938013 0.2003932 9.450 < 2e-16 ***
DESTIN_GRID_ID1329 2.1692615 0.2005791 10.815 < 2e-16 ***
DESTIN_GRID_ID1330 2.9352166 0.2004501 14.643 < 2e-16 ***
DESTIN_GRID_ID1331 -1.3856265 0.3000018 -4.619 3.86e-06 ***
DESTIN_GRID_ID1333 1.0584831 0.2016835 5.248 1.54e-07 ***
DESTIN_GRID_ID1334 1.5905019 0.2012441 7.903 2.72e-15 ***
DESTIN_GRID_ID1335 1.4715696 0.2018348 7.291 3.08e-13 ***
DESTIN_GRID_ID1336 -0.3669800 0.2325629 -1.578 0.114570
DESTIN_GRID_ID1337 0.5943335 0.2046569 2.904 0.003684 **
DESTIN_GRID_ID1338 -1.6673224 0.2343640 -7.114 1.13e-12 ***
DESTIN_GRID_ID1339 3.6998335 0.2000898 18.491 < 2e-16 ***
DESTIN_GRID_ID1340 3.0171889 0.2002640 15.066 < 2e-16 ***
DESTIN_GRID_ID1341 -2.1229944 0.4062029 -5.226 1.73e-07 ***
DESTIN_GRID_ID1346 1.9392061 0.2005430 9.670 < 2e-16 ***
DESTIN_GRID_ID1347 3.5081622 0.2000663 17.535 < 2e-16 ***
DESTIN_GRID_ID1348 2.3787344 0.2001884 11.882 < 2e-16 ***
DESTIN_GRID_ID1349 3.1283585 0.2001393 15.631 < 2e-16 ***
DESTIN_GRID_ID1350 1.3250836 0.2017451 6.568 5.10e-11 ***
DESTIN_GRID_ID1353 2.3583770 0.2003186 11.773 < 2e-16 ***
DESTIN_GRID_ID1354 0.6267923 0.2021912 3.100 0.001935 **
DESTIN_GRID_ID1355 1.7152331 0.2008254 8.541 < 2e-16 ***
DESTIN_GRID_ID1357 0.4408168 0.2056184 2.144 0.032044 *
DESTIN_GRID_ID1358 3.4962944 0.2001246 17.471 < 2e-16 ***
DESTIN_GRID_ID1359 2.5313869 0.2002863 12.639 < 2e-16 ***
DESTIN_GRID_ID1360 2.1137944 0.2004657 10.544 < 2e-16 ***
DESTIN_GRID_ID1361 3.2726680 0.2002258 16.345 < 2e-16 ***
DESTIN_GRID_ID1362 -0.5004526 0.2449502 -2.043 0.041045 *
DESTIN_GRID_ID1368 1.3648561 0.2005212 6.807 1.00e-11 ***
DESTIN_GRID_ID1369 1.3793135 0.2004912 6.880 6.00e-12 ***
DESTIN_GRID_ID1370 3.8677323 0.2000442 19.334 < 2e-16 ***
DESTIN_GRID_ID1371 1.8551851 0.2005431 9.251 < 2e-16 ***
DESTIN_GRID_ID1372 0.7140975 0.2023362 3.529 0.000417 ***
DESTIN_GRID_ID1373 0.0956074 0.2064762 0.463 0.643333
DESTIN_GRID_ID1374 1.2272915 0.2008874 6.109 1.00e-09 ***
DESTIN_GRID_ID1375 2.5391529 0.2003908 12.671 < 2e-16 ***
DESTIN_GRID_ID1376 1.1252045 0.2021053 5.567 2.59e-08 ***
DESTIN_GRID_ID1379 0.6372926 0.2051137 3.107 0.001890 **
DESTIN_GRID_ID1380 3.7316308 0.2000724 18.651 < 2e-16 ***
DESTIN_GRID_ID1381 4.3504599 0.2000420 21.748 < 2e-16 ***
DESTIN_GRID_ID1382 3.3801621 0.2002012 16.884 < 2e-16 ***
DESTIN_GRID_ID1383 1.1008147 0.2032867 5.415 6.13e-08 ***
DESTIN_GRID_ID1388 1.8267605 0.2003286 9.119 < 2e-16 ***
DESTIN_GRID_ID1389 1.4421383 0.2003939 7.197 6.18e-13 ***
DESTIN_GRID_ID1390 2.0190318 0.2002668 10.082 < 2e-16 ***
DESTIN_GRID_ID1391 2.8257111 0.2001822 14.116 < 2e-16 ***
DESTIN_GRID_ID1392 1.8416841 0.2039002 9.032 < 2e-16 ***
DESTIN_GRID_ID1393 0.2276833 0.2026758 1.123 0.261273
DESTIN_GRID_ID1394 2.0288024 0.2003090 10.128 < 2e-16 ***
DESTIN_GRID_ID1395 2.2540514 0.2002516 11.256 < 2e-16 ***
DESTIN_GRID_ID1396 2.8351466 0.2001864 14.163 < 2e-16 ***
DESTIN_GRID_ID1397 2.5927984 0.2002485 12.948 < 2e-16 ***
DESTIN_GRID_ID1398 1.4996345 0.2015786 7.439 1.01e-13 ***
DESTIN_GRID_ID1400 2.3838649 0.2005398 11.887 < 2e-16 ***
DESTIN_GRID_ID1401 3.5855996 0.2000761 17.921 < 2e-16 ***
DESTIN_GRID_ID1402 2.8107952 0.2002367 14.037 < 2e-16 ***
DESTIN_GRID_ID1404 3.6286161 0.2009646 18.056 < 2e-16 ***
DESTIN_GRID_ID1410 2.1965766 0.2001872 10.973 < 2e-16 ***
DESTIN_GRID_ID1411 1.5681092 0.2003990 7.825 5.08e-15 ***
DESTIN_GRID_ID1412 3.4784668 0.2000607 17.387 < 2e-16 ***
DESTIN_GRID_ID1413 2.5476543 0.2002000 12.726 < 2e-16 ***
DESTIN_GRID_ID1414 1.8111556 0.2003753 9.039 < 2e-16 ***
DESTIN_GRID_ID1415 1.7313303 0.2004684 8.636 < 2e-16 ***
DESTIN_GRID_ID1416 1.9146456 0.2004508 9.552 < 2e-16 ***
DESTIN_GRID_ID1417 1.7633174 0.2003886 8.799 < 2e-16 ***
DESTIN_GRID_ID1418 2.5222280 0.2002297 12.597 < 2e-16 ***
DESTIN_GRID_ID1419 1.8791092 0.2005701 9.369 < 2e-16 ***
DESTIN_GRID_ID1422 2.6852916 0.2002764 13.408 < 2e-16 ***
DESTIN_GRID_ID1423 3.1302918 0.2001931 15.636 < 2e-16 ***
DESTIN_GRID_ID1430 1.9765536 0.2003209 9.867 < 2e-16 ***
DESTIN_GRID_ID1431 3.6596896 0.2000428 18.295 < 2e-16 ***
DESTIN_GRID_ID1432 2.9821330 0.2000823 14.905 < 2e-16 ***
DESTIN_GRID_ID1433 0.8062651 0.2019903 3.992 6.56e-05 ***
DESTIN_GRID_ID1434 2.9539790 0.2001200 14.761 < 2e-16 ***
DESTIN_GRID_ID1435 2.5278314 0.2001657 12.629 < 2e-16 ***
DESTIN_GRID_ID1436 0.1026288 0.2031625 0.505 0.613449
DESTIN_GRID_ID1437 2.7125384 0.2001689 13.551 < 2e-16 ***
DESTIN_GRID_ID1438 3.1755391 0.2000840 15.871 < 2e-16 ***
DESTIN_GRID_ID1439 3.2467353 0.2001090 16.225 < 2e-16 ***
DESTIN_GRID_ID1440 0.5121508 0.2038061 2.513 0.011973 *
DESTIN_GRID_ID1442 1.8994403 0.2008969 9.455 < 2e-16 ***
DESTIN_GRID_ID1443 2.9221016 0.2002296 14.594 < 2e-16 ***
DESTIN_GRID_ID1444 2.1622791 0.2010174 10.757 < 2e-16 ***
DESTIN_GRID_ID1452 2.1875630 0.2001943 10.927 < 2e-16 ***
DESTIN_GRID_ID1453 2.5568086 0.2001369 12.775 < 2e-16 ***
DESTIN_GRID_ID1454 1.8113602 0.2004085 9.038 < 2e-16 ***
DESTIN_GRID_ID1455 1.5155550 0.2005746 7.556 4.15e-14 ***
DESTIN_GRID_ID1456 2.5804857 0.2001919 12.890 < 2e-16 ***
DESTIN_GRID_ID1457 3.2880601 0.2001284 16.430 < 2e-16 ***
DESTIN_GRID_ID1458 3.8905418 0.2000451 19.448 < 2e-16 ***
DESTIN_GRID_ID1459 2.1596760 0.2002618 10.784 < 2e-16 ***
DESTIN_GRID_ID1460 2.9121339 0.2001287 14.551 < 2e-16 ***
DESTIN_GRID_ID1461 1.2691591 0.2013057 6.305 2.89e-10 ***
DESTIN_GRID_ID1464 2.9613365 0.2002400 14.789 < 2e-16 ***
DESTIN_GRID_ID1465 2.7395378 0.2004824 13.665 < 2e-16 ***
DESTIN_GRID_ID1472 0.9619851 0.2010244 4.785 1.71e-06 ***
DESTIN_GRID_ID1473 1.7387597 0.2003059 8.681 < 2e-16 ***
DESTIN_GRID_ID1474 3.1734013 0.2000618 15.862 < 2e-16 ***
DESTIN_GRID_ID1475 3.3294040 0.2000631 16.642 < 2e-16 ***
DESTIN_GRID_ID1476 2.0911050 0.2002927 10.440 < 2e-16 ***
DESTIN_GRID_ID1477 4.0757199 0.2000302 20.376 < 2e-16 ***
DESTIN_GRID_ID1478 1.7197033 0.2003971 8.581 < 2e-16 ***
DESTIN_GRID_ID1479 1.8659948 0.2003336 9.314 < 2e-16 ***
DESTIN_GRID_ID1480 4.0401875 0.2000360 20.197 < 2e-16 ***
DESTIN_GRID_ID1481 0.9066725 0.2014885 4.500 6.80e-06 ***
DESTIN_GRID_ID1482 0.9790847 0.2024151 4.837 1.32e-06 ***
DESTIN_GRID_ID1485 2.0316487 0.2009170 10.112 < 2e-16 ***
DESTIN_GRID_ID1494 0.9665262 0.2008410 4.812 1.49e-06 ***
DESTIN_GRID_ID1495 2.3560499 0.2001469 11.772 < 2e-16 ***
DESTIN_GRID_ID1496 3.5558413 0.2000431 17.775 < 2e-16 ***
DESTIN_GRID_ID1497 2.6076366 0.2001483 13.029 < 2e-16 ***
DESTIN_GRID_ID1498 2.5408493 0.2001830 12.693 < 2e-16 ***
DESTIN_GRID_ID1499 2.9137411 0.2001111 14.561 < 2e-16 ***
DESTIN_GRID_ID1500 2.5751349 0.2003048 12.856 < 2e-16 ***
DESTIN_GRID_ID1501 2.8287787 0.2001295 14.135 < 2e-16 ***
DESTIN_GRID_ID1502 2.6776008 0.2001880 13.375 < 2e-16 ***
DESTIN_GRID_ID1506 -0.0877130 0.2801117 -0.313 0.754177
DESTIN_GRID_ID1514 -1.7474276 0.6110101 -2.860 0.004238 **
DESTIN_GRID_ID1515 0.8165814 0.2021983 4.039 5.38e-05 ***
DESTIN_GRID_ID1516 3.1817299 0.2000661 15.903 < 2e-16 ***
DESTIN_GRID_ID1517 3.0446205 0.2001294 15.213 < 2e-16 ***
DESTIN_GRID_ID1518 2.0872419 0.2002589 10.423 < 2e-16 ***
DESTIN_GRID_ID1519 2.9638036 0.2002452 14.801 < 2e-16 ***
DESTIN_GRID_ID1520 1.4641582 0.2006010 7.299 2.90e-13 ***
DESTIN_GRID_ID1521 0.2268105 0.2025075 1.120 0.262709
DESTIN_GRID_ID1522 3.1631577 0.2001133 15.807 < 2e-16 ***
DESTIN_GRID_ID1523 1.6554916 0.2013861 8.220 < 2e-16 ***
DESTIN_GRID_ID1524 1.9845515 0.2009035 9.878 < 2e-16 ***
DESTIN_GRID_ID1527 1.1034945 0.2033621 5.426 5.75e-08 ***
DESTIN_GRID_ID1535 0.9558889 0.2068686 4.621 3.82e-06 ***
DESTIN_GRID_ID1536 1.5089060 0.2011119 7.503 6.25e-14 ***
DESTIN_GRID_ID1537 2.5529508 0.2001602 12.755 < 2e-16 ***
DESTIN_GRID_ID1538 2.8072023 0.2001006 14.029 < 2e-16 ***
DESTIN_GRID_ID1539 2.4076865 0.2001413 12.030 < 2e-16 ***
DESTIN_GRID_ID1540 2.5060192 0.2001589 12.520 < 2e-16 ***
DESTIN_GRID_ID1541 3.2066562 0.2003184 16.008 < 2e-16 ***
DESTIN_GRID_ID1542 1.0010461 0.2018154 4.960 7.04e-07 ***
DESTIN_GRID_ID1543 1.7466301 0.2042891 8.550 < 2e-16 ***
DESTIN_GRID_ID1544 2.0441865 0.2006749 10.187 < 2e-16 ***
DESTIN_GRID_ID1547 -0.0392960 0.2201714 -0.178 0.858347
DESTIN_GRID_ID1556 1.5825827 0.2024750 7.816 5.44e-15 ***
DESTIN_GRID_ID1557 2.5092870 0.2003687 12.523 < 2e-16 ***
DESTIN_GRID_ID1558 2.5562533 0.2014410 12.690 < 2e-16 ***
DESTIN_GRID_ID1559 2.8043012 0.2001039 14.014 < 2e-16 ***
DESTIN_GRID_ID1560 3.1196825 0.2000865 15.592 < 2e-16 ***
DESTIN_GRID_ID1561 2.5522606 0.2002939 12.743 < 2e-16 ***
DESTIN_GRID_ID1562 -0.0600847 0.2034079 -0.295 0.767696
DESTIN_GRID_ID1563 1.7660708 0.2004280 8.811 < 2e-16 ***
DESTIN_GRID_ID1564 0.6806078 0.2017792 3.373 0.000743 ***
DESTIN_GRID_ID1565 0.7517516 0.2019404 3.723 0.000197 ***
DESTIN_GRID_ID1566 0.6363354 0.2032655 3.131 0.001745 **
DESTIN_GRID_ID1567 -0.9221555 0.2475424 -3.725 0.000195 ***
DESTIN_GRID_ID1568 0.4181522 0.2150609 1.944 0.051854 .
DESTIN_GRID_ID1578 -0.2767711 0.2227487 -1.243 0.214042
DESTIN_GRID_ID1580 1.2183728 0.2011003 6.059 1.37e-09 ***
DESTIN_GRID_ID1581 0.4074613 0.2014982 2.022 0.043160 *
DESTIN_GRID_ID1582 2.6876569 0.2001245 13.430 < 2e-16 ***
DESTIN_GRID_ID1583 1.8891768 0.2020672 9.349 < 2e-16 ***
DESTIN_GRID_ID1584 1.6602422 0.2007777 8.269 < 2e-16 ***
DESTIN_GRID_ID1585 2.6947598 0.2002562 13.457 < 2e-16 ***
DESTIN_GRID_ID1586 0.6761635 0.2018763 3.349 0.000810 ***
DESTIN_GRID_ID1589 -0.4431197 0.2182521 -2.030 0.042325 *
DESTIN_GRID_ID1590 0.1253357 0.2188031 0.573 0.566764
DESTIN_GRID_ID1600 2.7175870 0.2008103 13.533 < 2e-16 ***
DESTIN_GRID_ID1601 2.0648793 0.2002309 10.312 < 2e-16 ***
DESTIN_GRID_ID1602 2.4023462 0.2002446 11.997 < 2e-16 ***
DESTIN_GRID_ID1603 3.2060843 0.2001187 16.021 < 2e-16 ***
DESTIN_GRID_ID1604 1.6322247 0.2004905 8.141 3.92e-16 ***
DESTIN_GRID_ID1605 2.6997366 0.2001550 13.488 < 2e-16 ***
DESTIN_GRID_ID1606 2.8358144 0.2005408 14.141 < 2e-16 ***
DESTIN_GRID_ID1607 0.9111533 0.2013254 4.526 6.02e-06 ***
DESTIN_GRID_ID1608 2.9242145 0.2002039 14.606 < 2e-16 ***
DESTIN_GRID_ID1609 2.7326563 0.2003178 13.642 < 2e-16 ***
DESTIN_GRID_ID1610 0.5111061 0.2188044 2.336 0.019496 *
DESTIN_GRID_ID1622 3.0257040 0.2007858 15.069 < 2e-16 ***
DESTIN_GRID_ID1623 2.9753773 0.2000934 14.870 < 2e-16 ***
DESTIN_GRID_ID1624 1.5719530 0.2005180 7.839 4.52e-15 ***
DESTIN_GRID_ID1625 2.8890571 0.2001525 14.434 < 2e-16 ***
DESTIN_GRID_ID1626 4.3418117 0.2000292 21.706 < 2e-16 ***
DESTIN_GRID_ID1627 1.6326929 0.2004836 8.144 3.83e-16 ***
DESTIN_GRID_ID1628 3.3226518 0.2001130 16.604 < 2e-16 ***
DESTIN_GRID_ID1629 1.7553183 0.2007187 8.745 < 2e-16 ***
DESTIN_GRID_ID1630 2.0203305 0.2006350 10.070 < 2e-16 ***
DESTIN_GRID_ID1631 -0.7839084 0.2275204 -3.445 0.000570 ***
DESTIN_GRID_ID1642 0.6837064 0.2049600 3.336 0.000851 ***
DESTIN_GRID_ID1643 2.5657994 0.2001681 12.818 < 2e-16 ***
DESTIN_GRID_ID1644 1.4925518 0.2008982 7.429 1.09e-13 ***
DESTIN_GRID_ID1645 2.0876253 0.2003074 10.422 < 2e-16 ***
DESTIN_GRID_ID1646 1.9822300 0.2007212 9.876 < 2e-16 ***
DESTIN_GRID_ID1647 2.5968938 0.2001615 12.974 < 2e-16 ***
DESTIN_GRID_ID1648 2.4330617 0.2002136 12.152 < 2e-16 ***
DESTIN_GRID_ID1649 2.7205399 0.2001755 13.591 < 2e-16 ***
DESTIN_GRID_ID1650 2.9977130 0.2002226 14.972 < 2e-16 ***
DESTIN_GRID_ID1664 -0.3761788 0.2278267 -1.651 0.098706 .
DESTIN_GRID_ID1665 2.9688047 0.2001006 14.837 < 2e-16 ***
DESTIN_GRID_ID1666 1.8107361 0.2003253 9.039 < 2e-16 ***
DESTIN_GRID_ID1667 0.5802906 0.2050930 2.829 0.004664 **
DESTIN_GRID_ID1668 2.5845246 0.2001929 12.910 < 2e-16 ***
DESTIN_GRID_ID1670 3.2501549 0.2001024 16.242 < 2e-16 ***
DESTIN_GRID_ID1671 3.3082068 0.2003701 16.510 < 2e-16 ***
DESTIN_GRID_ID1672 2.6132035 0.2004448 13.037 < 2e-16 ***
DESTIN_GRID_ID1684 1.7569448 0.2013312 8.727 < 2e-16 ***
DESTIN_GRID_ID1685 2.5104340 0.2002197 12.538 < 2e-16 ***
DESTIN_GRID_ID1686 2.1710956 0.2002402 10.842 < 2e-16 ***
DESTIN_GRID_ID1687 2.0727857 0.2006281 10.331 < 2e-16 ***
DESTIN_GRID_ID1688 1.4422665 0.2006477 7.188 6.57e-13 ***
DESTIN_GRID_ID1689 1.4103440 0.2007759 7.024 2.15e-12 ***
DESTIN_GRID_ID1690 1.7644707 0.2006324 8.795 < 2e-16 ***
DESTIN_GRID_ID1691 2.8018815 0.2001747 13.997 < 2e-16 ***
DESTIN_GRID_ID1692 1.9028500 0.2007127 9.480 < 2e-16 ***
DESTIN_GRID_ID1706 2.3333214 0.2003545 11.646 < 2e-16 ***
DESTIN_GRID_ID1707 2.0921863 0.2002388 10.448 < 2e-16 ***
DESTIN_GRID_ID1708 2.4766451 0.2001839 12.372 < 2e-16 ***
DESTIN_GRID_ID1709 2.0402717 0.2003400 10.184 < 2e-16 ***
DESTIN_GRID_ID1710 2.7627317 0.2002002 13.800 < 2e-16 ***
DESTIN_GRID_ID1711 3.7257204 0.2000715 18.622 < 2e-16 ***
DESTIN_GRID_ID1712 3.1985191 0.2000933 15.985 < 2e-16 ***
DESTIN_GRID_ID1713 0.9385342 0.2012806 4.663 3.12e-06 ***
DESTIN_GRID_ID1714 2.9671585 0.2002204 14.819 < 2e-16 ***
DESTIN_GRID_ID1726 -1.6190383 0.2828445 -5.724 1.04e-08 ***
DESTIN_GRID_ID1727 2.6351504 0.2002095 13.162 < 2e-16 ***
DESTIN_GRID_ID1728 2.8724461 0.2001140 14.354 < 2e-16 ***
DESTIN_GRID_ID1729 2.0753883 0.2002846 10.362 < 2e-16 ***
DESTIN_GRID_ID1730 0.2252169 0.2038420 1.105 0.269220
DESTIN_GRID_ID1731 2.6332658 0.2002248 13.152 < 2e-16 ***
DESTIN_GRID_ID1732 2.8782504 0.2001239 14.382 < 2e-16 ***
DESTIN_GRID_ID1733 2.3744893 0.2002271 11.859 < 2e-16 ***
DESTIN_GRID_ID1734 3.0106292 0.2001362 15.043 < 2e-16 ***
DESTIN_GRID_ID1735 3.1458587 0.2006024 15.682 < 2e-16 ***
DESTIN_GRID_ID1748 1.8622951 0.2005259 9.287 < 2e-16 ***
DESTIN_GRID_ID1749 3.5637912 0.2000582 17.814 < 2e-16 ***
DESTIN_GRID_ID1750 2.0098191 0.2002766 10.035 < 2e-16 ***
DESTIN_GRID_ID1751 0.8906480 0.2014993 4.420 9.87e-06 ***
DESTIN_GRID_ID1753 2.9648177 0.2001404 14.814 < 2e-16 ***
DESTIN_GRID_ID1754 4.0730564 0.2000397 20.361 < 2e-16 ***
DESTIN_GRID_ID1755 3.1794822 0.2001017 15.889 < 2e-16 ***
DESTIN_GRID_ID1756 2.4765628 0.2002393 12.368 < 2e-16 ***
DESTIN_GRID_ID1757 0.0097400 0.2094338 0.047 0.962907
DESTIN_GRID_ID1768 -0.1740349 0.2193869 -0.793 0.427616
DESTIN_GRID_ID1769 2.2890655 0.2002772 11.429 < 2e-16 ***
DESTIN_GRID_ID1770 2.5015362 0.2002730 12.491 < 2e-16 ***
DESTIN_GRID_ID1771 1.7370259 0.2005872 8.660 < 2e-16 ***
DESTIN_GRID_ID1772 1.2144014 0.2048265 5.929 3.05e-09 ***
DESTIN_GRID_ID1774 2.5111640 0.2002355 12.541 < 2e-16 ***
DESTIN_GRID_ID1775 2.1165903 0.2003052 10.567 < 2e-16 ***
DESTIN_GRID_ID1776 4.0257515 0.2000432 20.124 < 2e-16 ***
DESTIN_GRID_ID1777 2.6911097 0.2002263 13.440 < 2e-16 ***
DESTIN_GRID_ID1778 1.7094122 0.2021217 8.457 < 2e-16 ***
DESTIN_GRID_ID1790 3.4092281 0.2001119 17.037 < 2e-16 ***
DESTIN_GRID_ID1791 3.0961392 0.2001537 15.469 < 2e-16 ***
DESTIN_GRID_ID1792 2.3341358 0.2004618 11.644 < 2e-16 ***
DESTIN_GRID_ID1793 1.5033504 0.2007706 7.488 7.00e-14 ***
DESTIN_GRID_ID1794 -0.6217821 0.2457828 -2.530 0.011413 *
DESTIN_GRID_ID1795 -0.1152149 0.2085609 -0.552 0.580655
DESTIN_GRID_ID1796 2.8198684 0.2001862 14.086 < 2e-16 ***
DESTIN_GRID_ID1797 2.8052745 0.2001473 14.016 < 2e-16 ***
DESTIN_GRID_ID1798 2.8925255 0.2001559 14.451 < 2e-16 ***
DESTIN_GRID_ID1799 1.9948384 0.2005783 9.945 < 2e-16 ***
DESTIN_GRID_ID1800 1.6703277 0.2043497 8.174 2.99e-16 ***
DESTIN_GRID_ID1811 2.5406768 0.2002622 12.687 < 2e-16 ***
DESTIN_GRID_ID1812 3.3987611 0.2000726 16.988 < 2e-16 ***
DESTIN_GRID_ID1813 2.7452525 0.2001546 13.716 < 2e-16 ***
DESTIN_GRID_ID1817 2.4005819 0.2003489 11.982 < 2e-16 ***
DESTIN_GRID_ID1818 2.7030601 0.2001724 13.504 < 2e-16 ***
DESTIN_GRID_ID1819 3.9965440 0.2000460 19.978 < 2e-16 ***
DESTIN_GRID_ID1820 0.7735637 0.2036678 3.798 0.000146 ***
DESTIN_GRID_ID1832 3.9586667 0.2000681 19.787 < 2e-16 ***
DESTIN_GRID_ID1833 2.1860581 0.2003076 10.914 < 2e-16 ***
DESTIN_GRID_ID1834 2.1461932 0.2002770 10.716 < 2e-16 ***
DESTIN_GRID_ID1835 1.4031177 0.2009470 6.983 2.90e-12 ***
DESTIN_GRID_ID1837 -0.5199752 0.2369177 -2.195 0.028182 *
DESTIN_GRID_ID1839 2.1793917 0.2004322 10.873 < 2e-16 ***
DESTIN_GRID_ID1840 3.7390385 0.2000647 18.689 < 2e-16 ***
DESTIN_GRID_ID1841 1.4991461 0.2016505 7.434 1.05e-13 ***
DESTIN_GRID_ID1842 2.8752453 0.2007505 14.322 < 2e-16 ***
DESTIN_GRID_ID1853 2.5121943 0.2002253 12.547 < 2e-16 ***
DESTIN_GRID_ID1854 2.8582118 0.2001651 14.279 < 2e-16 ***
DESTIN_GRID_ID1855 2.8689742 0.2001663 14.333 < 2e-16 ***
DESTIN_GRID_ID1858 -0.1284975 0.2203367 -0.583 0.559767
DESTIN_GRID_ID1860 2.8539009 0.2008949 14.206 < 2e-16 ***
DESTIN_GRID_ID1861 2.6287944 0.2002544 13.127 < 2e-16 ***
DESTIN_GRID_ID1874 2.9553747 0.2002514 14.758 < 2e-16 ***
DESTIN_GRID_ID1875 1.1473147 0.2017751 5.686 1.30e-08 ***
DESTIN_GRID_ID1876 2.8950327 0.2011901 14.390 < 2e-16 ***
DESTIN_GRID_ID1877 2.5195494 0.2002352 12.583 < 2e-16 ***
DESTIN_GRID_ID1880 -0.3155168 0.2380505 -1.325 0.185032
DESTIN_GRID_ID1882 2.8563000 0.2002197 14.266 < 2e-16 ***
DESTIN_GRID_ID1883 2.1766489 0.2012250 10.817 < 2e-16 ***
DESTIN_GRID_ID1895 2.4723194 0.2002851 12.344 < 2e-16 ***
DESTIN_GRID_ID1896 1.9535558 0.2004659 9.745 < 2e-16 ***
DESTIN_GRID_ID1897 1.5456826 0.2008758 7.695 1.42e-14 ***
DESTIN_GRID_ID1898 -0.9678211 0.2338953 -4.138 3.51e-05 ***
DESTIN_GRID_ID1901 -0.4462679 0.2426295 -1.839 0.065871 .
DESTIN_GRID_ID1903 2.0382765 0.2009034 10.146 < 2e-16 ***
DESTIN_GRID_ID1916 0.4018293 0.2132967 1.884 0.059579 .
DESTIN_GRID_ID1917 2.0182961 0.2004856 10.067 < 2e-16 ***
DESTIN_GRID_ID1918 3.1562177 0.2002606 15.761 < 2e-16 ***
DESTIN_GRID_ID1919 3.0081402 0.2001559 15.029 < 2e-16 ***
DESTIN_GRID_ID1922 0.0518055 0.2165579 0.239 0.810933
DESTIN_GRID_ID1924 1.9709130 0.2009768 9.807 < 2e-16 ***
DESTIN_GRID_ID1937 2.4741880 0.2003488 12.349 < 2e-16 ***
DESTIN_GRID_ID1938 2.9421486 0.2001584 14.699 < 2e-16 ***
DESTIN_GRID_ID1939 2.9520472 0.2002025 14.745 < 2e-16 ***
DESTIN_GRID_ID1942 0.4461779 0.2113103 2.111 0.034731 *
DESTIN_GRID_ID1958 -0.1691225 0.2412098 -0.701 0.483214
DESTIN_GRID_ID1959 2.1486962 0.2005310 10.715 < 2e-16 ***
DESTIN_GRID_ID1960 4.5054846 0.2000255 22.525 < 2e-16 ***
DESTIN_GRID_ID1961 2.1028387 0.2004743 10.489 < 2e-16 ***
DESTIN_GRID_ID1962 2.7931117 0.2002392 13.949 < 2e-16 ***
DESTIN_GRID_ID1964 0.7246455 0.2196936 3.298 0.000972 ***
DESTIN_GRID_ID1979 2.2133213 0.2005512 11.036 < 2e-16 ***
DESTIN_GRID_ID1980 0.5626929 0.2017895 2.789 0.005295 **
DESTIN_GRID_ID1981 2.6351512 0.2002432 13.160 < 2e-16 ***
DESTIN_GRID_ID1982 1.4137262 0.2016167 7.012 2.35e-12 ***
DESTIN_GRID_ID1983 2.9330729 0.2002179 14.649 < 2e-16 ***
DESTIN_GRID_ID1984 1.5817381 0.2008567 7.875 3.41e-15 ***
DESTIN_GRID_ID1985 2.1286719 0.2005313 10.615 < 2e-16 ***
DESTIN_GRID_ID2001 2.4367188 0.2003013 12.165 < 2e-16 ***
DESTIN_GRID_ID2002 2.9697484 0.2001243 14.840 < 2e-16 ***
DESTIN_GRID_ID2003 3.0146453 0.2001465 15.062 < 2e-16 ***
DESTIN_GRID_ID2004 3.4005939 0.2001266 16.992 < 2e-16 ***
DESTIN_GRID_ID2005 2.6907627 0.2002443 13.437 < 2e-16 ***
DESTIN_GRID_ID2006 3.2717698 0.2001864 16.344 < 2e-16 ***
DESTIN_GRID_ID2007 0.7253493 0.2046140 3.545 0.000393 ***
DESTIN_GRID_ID2022 2.9666139 0.2003240 14.809 < 2e-16 ***
DESTIN_GRID_ID2023 3.2106281 0.2001224 16.043 < 2e-16 ***
DESTIN_GRID_ID2024 2.8606204 0.2001606 14.292 < 2e-16 ***
DESTIN_GRID_ID2025 2.5974216 0.2002211 12.973 < 2e-16 ***
DESTIN_GRID_ID2026 1.7816477 0.2008265 8.872 < 2e-16 ***
DESTIN_GRID_ID2027 3.1631572 0.2001647 15.803 < 2e-16 ***
DESTIN_GRID_ID2043 2.2316209 0.2004929 11.131 < 2e-16 ***
DESTIN_GRID_ID2044 2.8651036 0.2001762 14.313 < 2e-16 ***
DESTIN_GRID_ID2045 0.2646984 0.2063136 1.283 0.199495
DESTIN_GRID_ID2046 3.5053699 0.2000679 17.521 < 2e-16 ***
DESTIN_GRID_ID2047 2.4502034 0.2002819 12.234 < 2e-16 ***
DESTIN_GRID_ID2048 2.6208023 0.2002599 13.087 < 2e-16 ***
DESTIN_GRID_ID2049 0.6371358 0.2037721 3.127 0.001768 **
DESTIN_GRID_ID2064 2.7660865 0.2002514 13.813 < 2e-16 ***
DESTIN_GRID_ID2065 2.0057463 0.2004770 10.005 < 2e-16 ***
DESTIN_GRID_ID2066 0.4627298 0.2051674 2.255 0.024110 *
DESTIN_GRID_ID2067 4.6997153 0.2000223 23.496 < 2e-16 ***
DESTIN_GRID_ID2068 2.6536695 0.2004761 13.237 < 2e-16 ***
DESTIN_GRID_ID2069 2.7954633 0.2002906 13.957 < 2e-16 ***
DESTIN_GRID_ID2085 2.0475003 0.2006430 10.205 < 2e-16 ***
DESTIN_GRID_ID2086 3.5073111 0.2001051 17.527 < 2e-16 ***
DESTIN_GRID_ID2087 2.3155560 0.2003293 11.559 < 2e-16 ***
DESTIN_GRID_ID2088 2.6945741 0.2001677 13.462 < 2e-16 ***
DESTIN_GRID_ID2089 2.0327191 0.2005281 10.137 < 2e-16 ***
DESTIN_GRID_ID2090 4.2947924 0.2000418 21.469 < 2e-16 ***
DESTIN_GRID_ID2091 1.7896141 0.2040080 8.772 < 2e-16 ***
DESTIN_GRID_ID2105 1.9403337 0.2195408 8.838 < 2e-16 ***
DESTIN_GRID_ID2106 0.6990682 0.2025217 3.452 0.000557 ***
DESTIN_GRID_ID2107 1.6006439 0.2007162 7.975 1.53e-15 ***
DESTIN_GRID_ID2108 3.2862064 0.2001523 16.419 < 2e-16 ***
DESTIN_GRID_ID2109 2.5272711 0.2002100 12.623 < 2e-16 ***
DESTIN_GRID_ID2110 1.9196124 0.2006798 9.566 < 2e-16 ***
DESTIN_GRID_ID2111 0.0807105 0.2119601 0.381 0.703365
DESTIN_GRID_ID2128 1.7344775 0.2014483 8.610 < 2e-16 ***
DESTIN_GRID_ID2129 1.5312149 0.2015931 7.596 3.06e-14 ***
DESTIN_GRID_ID2130 3.0788544 0.2001178 15.385 < 2e-16 ***
DESTIN_GRID_ID2131 3.1305684 0.2002025 15.637 < 2e-16 ***
DESTIN_GRID_ID2132 3.1300728 0.2001784 15.636 < 2e-16 ***
DESTIN_GRID_ID2148 2.3416842 0.2010133 11.649 < 2e-16 ***
DESTIN_GRID_ID2149 0.7740083 0.2026979 3.819 0.000134 ***
DESTIN_GRID_ID2150 3.0069800 0.2002018 15.020 < 2e-16 ***
DESTIN_GRID_ID2151 3.5731190 0.2000764 17.859 < 2e-16 ***
DESTIN_GRID_ID2152 3.3206896 0.2001366 16.592 < 2e-16 ***
DESTIN_GRID_ID2153 2.7241454 0.2003968 13.594 < 2e-16 ***
DESTIN_GRID_ID2171 2.8928887 0.2002349 14.447 < 2e-16 ***
DESTIN_GRID_ID2172 1.8039007 0.2007061 8.988 < 2e-16 ***
DESTIN_GRID_ID2173 2.2532309 0.2003258 11.248 < 2e-16 ***
DESTIN_GRID_ID2174 2.6611464 0.2003430 13.283 < 2e-16 ***
DESTIN_GRID_ID2191 2.5147269 0.2008517 12.520 < 2e-16 ***
DESTIN_GRID_ID2192 1.4780344 0.2014608 7.337 2.19e-13 ***
DESTIN_GRID_ID2193 2.0975959 0.2005254 10.461 < 2e-16 ***
DESTIN_GRID_ID2194 2.8771033 0.2002164 14.370 < 2e-16 ***
DESTIN_GRID_ID2195 1.8613132 0.2061567 9.029 < 2e-16 ***
DESTIN_GRID_ID2212 1.6205462 0.2117913 7.652 1.98e-14 ***
DESTIN_GRID_ID2213 -0.0982287 0.2112077 -0.465 0.641873
DESTIN_GRID_ID2214 0.7150448 0.2073952 3.448 0.000565 ***
DESTIN_GRID_ID2215 2.4577348 0.2004893 12.259 < 2e-16 ***
DESTIN_GRID_ID2216 1.2446483 0.2016263 6.173 6.70e-10 ***
DESTIN_GRID_ID2233 0.9823814 0.2084727 4.712 2.45e-06 ***
DESTIN_GRID_ID2234 2.4709761 0.2021038 12.226 < 2e-16 ***
DESTIN_GRID_ID2235 1.7126147 0.2019054 8.482 < 2e-16 ***
DESTIN_GRID_ID2236 0.5860802 0.2037436 2.877 0.004020 **
DESTIN_GRID_ID2237 -0.9554710 0.2729158 -3.501 0.000464 ***
DESTIN_GRID_ID2256 -0.3458058 0.2266364 -1.526 0.127055
DESTIN_GRID_ID2257 0.9677900 0.2039493 4.745 2.08e-06 ***
DESTIN_GRID_ID2258 0.4837842 0.2047708 2.363 0.018149 *
DESTIN_GRID_ID2259 0.7660919 0.2185235 3.506 0.000455 ***
DESTIN_GRID_ID2277 0.6610321 0.2164484 3.054 0.002258 **
DESTIN_GRID_ID2278 0.8427859 0.2067921 4.076 4.59e-05 ***
DESTIN_GRID_ID2279 0.7386043 0.2037657 3.625 0.000289 ***
DESTIN_GRID_ID2280 0.6183525 0.2161290 2.861 0.004223 **
DESTIN_GRID_ID2297 2.0244932 0.2020666 10.019 < 2e-16 ***
DESTIN_GRID_ID2300 0.7479141 0.2106813 3.550 0.000385 ***
DESTIN_GRID_ID2301 0.9292018 0.2032518 4.572 4.84e-06 ***
DESTIN_GRID_ID2318 3.0746972 0.2005926 15.328 < 2e-16 ***
DESTIN_GRID_ID2319 4.1956250 0.2001562 20.962 < 2e-16 ***
DESTIN_GRID_ID2322 3.4856648 0.2003006 17.402 < 2e-16 ***
DESTIN_GRID_ID2337 3.9662715 0.2010618 19.727 < 2e-16 ***
DESTIN_GRID_ID2341 4.7069369 0.2001184 23.521 < 2e-16 ***
DESTIN_GRID_ID2343 2.5092456 0.2007526 12.499 < 2e-16 ***
DESTIN_GRID_ID2361 2.7056716 0.2008024 13.474 < 2e-16 ***
DESTIN_GRID_ID2364 1.8744980 0.2020998 9.275 < 2e-16 ***
DESTIN_GRID_ID2379 1.6555581 0.2096500 7.897 2.86e-15 ***
DESTIN_GRID_ID2384 2.2663892 0.2019144 11.225 < 2e-16 ***
DESTIN_GRID_ID2405 2.1389696 0.2017801 10.600 < 2e-16 ***
DESTIN_GRID_ID2406 0.3171088 0.2158224 1.469 0.141750
DESTIN_GRID_ID2426 2.0382011 0.2115172 9.636 < 2e-16 ***
DESTIN_GRID_ID2427 1.7687483 0.2031138 8.708 < 2e-16 ***
DESTIN_GRID_ID2505 2.5692024 0.2195424 11.703 < 2e-16 ***
log(ORIGIN_HDB_DWELLING_UNIT) 0.1057278 0.0001375 768.658 < 2e-16 ***
log(ORIGIN_FINSERV_COUNT) 0.2628745 0.0004581 573.857 < 2e-16 ***
log(ORIGIN_MRT_EXIT_COUNT) 0.2823123 0.0007167 393.879 < 2e-16 ***
log(dist) -1.4965252 0.0004749 -3151.570 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 27023218 on 61607 degrees of freedom
Residual deviance: 8089495 on 60783 degrees of freedom
AIC: 8378800
Number of Fisher Scoring iterations: 7decSIM$coefficients[822:825]log(ORIGIN_HDB_DWELLING_UNIT) log(ORIGIN_FINSERV_COUNT)
0.1057278 0.2628745
log(ORIGIN_MRT_EXIT_COUNT) log(dist)
0.2823123 -1.4965252 CalcRSquared(decSIM$data$MORNING_PEAK, decSIM$fitted.values)[1] 0.4468104From the above results, I noticed that most variables are statistically significant(p-value< 0.05) for DESTIN_GRID_IDxxx but for log(ORIGIN_HDB_DWELLING_UNIT), log(ORIGIN_FINSERV_COUNT), log(ORIGIN_MRT_EXIT_COUNT), log(dist), they are statistically significant(p-value< 0.05). The Rsquared is higher than unconstrained which is 0.45.
The most influential variables are distance, origin mrt exit count, origin finserv count with -1.50 , 0.28 , and 0.26 respectively.
14.8 Doubly Constrained SIM
Doubly constrained spatial interaction model considers and incorporates both origin and destination constraints simultaneously. This approach is useful in situations where both the origins and destinations play crucial roles in shaping the overall pattern of interactions.
The formula is as follows:
dbcSIM <- glm(formula = MORNING_PEAK ~
ORIGIN_GRID_ID +
DESTIN_GRID_ID +
log(dist),
family = poisson(link = "log"),
data = flow_data_tidy,
na.action = na.exclude)
write_rds(dbcSIM, "data/rds/dbcSIM.rds")dbcSIM <- read_rds("data/rds/dbcSIM.rds")
summary(dbcSIM)
Call:
glm(formula = MORNING_PEAK ~ ORIGIN_GRID_ID + DESTIN_GRID_ID +
log(dist), family = poisson(link = "log"), data = flow_data_tidy,
na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 10.5682068 0.2936168 35.993 < 2e-16 ***
ORIGIN_GRID_ID46 1.9205770 0.2186635 8.783 < 2e-16 ***
ORIGIN_GRID_ID66 1.9208926 0.3087664 6.221 4.93e-10 ***
ORIGIN_GRID_ID67 2.8668188 0.2021237 14.183 < 2e-16 ***
ORIGIN_GRID_ID68 0.3278738 0.2495094 1.314 0.188821
ORIGIN_GRID_ID86 0.9208136 0.2096116 4.393 1.12e-05 ***
ORIGIN_GRID_ID87 3.4043516 0.2343206 14.529 < 2e-16 ***
ORIGIN_GRID_ID88 3.9881160 0.1995127 19.989 < 2e-16 ***
ORIGIN_GRID_ID89 1.7137788 0.2703728 6.339 2.32e-10 ***
ORIGIN_GRID_ID90 2.6336794 0.2243368 11.740 < 2e-16 ***
ORIGIN_GRID_ID109 1.6848744 0.2249648 7.490 6.91e-14 ***
ORIGIN_GRID_ID110 1.4374155 0.2145514 6.700 2.09e-11 ***
ORIGIN_GRID_ID111 6.4956878 0.2010554 32.308 < 2e-16 ***
ORIGIN_GRID_ID112 0.5383767 0.2592212 2.077 0.037811 *
ORIGIN_GRID_ID128 5.9627635 0.2032017 29.344 < 2e-16 ***
ORIGIN_GRID_ID129 2.6319567 0.2691808 9.778 < 2e-16 ***
ORIGIN_GRID_ID130 1.9527553 0.2127455 9.179 < 2e-16 ***
ORIGIN_GRID_ID131 1.2396978 0.2076061 5.971 2.35e-09 ***
ORIGIN_GRID_ID132 1.5530509 0.2157610 7.198 6.11e-13 ***
ORIGIN_GRID_ID133 1.2668687 0.2099950 6.033 1.61e-09 ***
ORIGIN_GRID_ID134 2.9736375 0.2224685 13.367 < 2e-16 ***
ORIGIN_GRID_ID150 6.2019474 0.2024689 30.632 < 2e-16 ***
ORIGIN_GRID_ID151 2.2360383 0.2147759 10.411 < 2e-16 ***
ORIGIN_GRID_ID152 2.6566395 0.2320105 11.451 < 2e-16 ***
ORIGIN_GRID_ID153 3.3576252 0.2074805 16.183 < 2e-16 ***
ORIGIN_GRID_ID154 3.4640938 0.2014370 17.197 < 2e-16 ***
ORIGIN_GRID_ID155 0.0039319 0.2257915 0.017 0.986106
ORIGIN_GRID_ID156 1.2102018 0.2175752 5.562 2.66e-08 ***
ORIGIN_GRID_ID172 3.1404664 0.2226080 14.108 < 2e-16 ***
ORIGIN_GRID_ID174 1.7218230 0.2170933 7.931 2.17e-15 ***
ORIGIN_GRID_ID175 1.6344476 0.2113578 7.733 1.05e-14 ***
ORIGIN_GRID_ID176 3.1950095 0.2013059 15.871 < 2e-16 ***
ORIGIN_GRID_ID195 2.3849263 0.2101813 11.347 < 2e-16 ***
ORIGIN_GRID_ID196 1.6747244 0.2064954 8.110 5.05e-16 ***
ORIGIN_GRID_ID197 0.8499506 0.2634780 3.226 0.001256 **
ORIGIN_GRID_ID215 3.0145187 0.2101928 14.342 < 2e-16 ***
ORIGIN_GRID_ID216 3.1154221 0.2046354 15.224 < 2e-16 ***
ORIGIN_GRID_ID217 2.7250593 0.2029341 13.428 < 2e-16 ***
ORIGIN_GRID_ID237 2.0342001 0.2444166 8.323 < 2e-16 ***
ORIGIN_GRID_ID238 1.2887377 0.2176369 5.922 3.19e-09 ***
ORIGIN_GRID_ID239 1.0369905 0.2537056 4.087 4.36e-05 ***
ORIGIN_GRID_ID257 3.6100077 0.2059016 17.533 < 2e-16 ***
ORIGIN_GRID_ID258 0.8140340 0.2188508 3.720 0.000200 ***
ORIGIN_GRID_ID259 1.9291681 0.2069461 9.322 < 2e-16 ***
ORIGIN_GRID_ID278 5.2196549 0.2034464 25.656 < 2e-16 ***
ORIGIN_GRID_ID279 3.0094408 0.2051927 14.666 < 2e-16 ***
ORIGIN_GRID_ID280 2.1567692 0.2056860 10.486 < 2e-16 ***
ORIGIN_GRID_ID298 0.7770656 0.4065555 1.911 0.055961 .
ORIGIN_GRID_ID299 2.6063312 0.2140466 12.176 < 2e-16 ***
ORIGIN_GRID_ID300 2.0803321 0.2083202 9.986 < 2e-16 ***
ORIGIN_GRID_ID320 3.3110920 0.2094985 15.805 < 2e-16 ***
ORIGIN_GRID_ID321 2.4252646 0.2214937 10.950 < 2e-16 ***
ORIGIN_GRID_ID322 1.6953953 0.2165065 7.831 4.85e-15 ***
ORIGIN_GRID_ID340 4.9381012 0.2041059 24.194 < 2e-16 ***
ORIGIN_GRID_ID341 3.5011254 0.2060581 16.991 < 2e-16 ***
ORIGIN_GRID_ID342 2.3035569 0.2079776 11.076 < 2e-16 ***
ORIGIN_GRID_ID363 3.5415139 0.2051484 17.263 < 2e-16 ***
ORIGIN_GRID_ID364 1.8599035 0.2060416 9.027 < 2e-16 ***
ORIGIN_GRID_ID383 3.9718629 0.2036744 19.501 < 2e-16 ***
ORIGIN_GRID_ID384 1.6209147 0.2099393 7.721 1.16e-14 ***
ORIGIN_GRID_ID385 0.0753936 0.2463635 0.306 0.759585
ORIGIN_GRID_ID404 4.0605435 0.2062722 19.685 < 2e-16 ***
ORIGIN_GRID_ID405 2.9490377 0.2070180 14.245 < 2e-16 ***
ORIGIN_GRID_ID406 4.5773155 0.2007733 22.798 < 2e-16 ***
ORIGIN_GRID_ID407 2.8901200 0.2031721 14.225 < 2e-16 ***
ORIGIN_GRID_ID408 3.7536024 0.2015334 18.625 < 2e-16 ***
ORIGIN_GRID_ID425 1.6407718 0.2260234 7.259 3.89e-13 ***
ORIGIN_GRID_ID426 2.1979074 0.2060283 10.668 < 2e-16 ***
ORIGIN_GRID_ID427 1.7608948 0.2033558 8.659 < 2e-16 ***
ORIGIN_GRID_ID428 2.7413034 0.2027436 13.521 < 2e-16 ***
ORIGIN_GRID_ID429 2.7419827 0.2029597 13.510 < 2e-16 ***
ORIGIN_GRID_ID446 2.6639300 0.2100954 12.680 < 2e-16 ***
ORIGIN_GRID_ID447 1.1880340 0.2174842 5.463 4.69e-08 ***
ORIGIN_GRID_ID448 1.2912051 0.2072005 6.232 4.61e-10 ***
ORIGIN_GRID_ID449 3.4928001 0.2011510 17.364 < 2e-16 ***
ORIGIN_GRID_ID450 2.5818350 0.2020652 12.777 < 2e-16 ***
ORIGIN_GRID_ID468 3.1197105 0.2038348 15.305 < 2e-16 ***
ORIGIN_GRID_ID469 1.5958380 0.2036573 7.836 4.66e-15 ***
ORIGIN_GRID_ID470 4.1752270 0.2008651 20.786 < 2e-16 ***
ORIGIN_GRID_ID471 3.8753393 0.2015786 19.225 < 2e-16 ***
ORIGIN_GRID_ID488 2.1099919 0.2144997 9.837 < 2e-16 ***
ORIGIN_GRID_ID489 -0.5324777 0.3342279 -1.593 0.111125
ORIGIN_GRID_ID490 3.0118136 0.2018419 14.922 < 2e-16 ***
ORIGIN_GRID_ID491 2.7331165 0.2012878 13.578 < 2e-16 ***
ORIGIN_GRID_ID493 -0.5343404 0.2862728 -1.867 0.061965 .
ORIGIN_GRID_ID494 3.1724138 0.2037295 15.572 < 2e-16 ***
ORIGIN_GRID_ID509 2.6126502 0.2065531 12.649 < 2e-16 ***
ORIGIN_GRID_ID510 2.9323478 0.2028393 14.457 < 2e-16 ***
ORIGIN_GRID_ID511 1.8358374 0.2025372 9.064 < 2e-16 ***
ORIGIN_GRID_ID512 4.3535504 0.2007686 21.684 < 2e-16 ***
ORIGIN_GRID_ID513 1.3373125 0.2077263 6.438 1.21e-10 ***
ORIGIN_GRID_ID514 2.4645833 0.2058751 11.971 < 2e-16 ***
ORIGIN_GRID_ID515 1.3534297 0.2277422 5.943 2.80e-09 ***
ORIGIN_GRID_ID530 2.1046629 0.2153547 9.773 < 2e-16 ***
ORIGIN_GRID_ID531 2.8672379 0.2038784 14.063 < 2e-16 ***
ORIGIN_GRID_ID532 2.1685759 0.2028212 10.692 < 2e-16 ***
ORIGIN_GRID_ID533 4.1798723 0.2007661 20.820 < 2e-16 ***
ORIGIN_GRID_ID534 4.4380061 0.2007994 22.102 < 2e-16 ***
ORIGIN_GRID_ID536 2.4150840 0.2052353 11.767 < 2e-16 ***
ORIGIN_GRID_ID537 0.8400027 0.2555795 3.287 0.001014 **
ORIGIN_GRID_ID538 0.2403974 0.2898407 0.829 0.406871
ORIGIN_GRID_ID551 1.6032611 0.2171188 7.384 1.53e-13 ***
ORIGIN_GRID_ID552 2.0070246 0.2077600 9.660 < 2e-16 ***
ORIGIN_GRID_ID553 1.3760620 0.2025871 6.792 1.10e-11 ***
ORIGIN_GRID_ID554 3.7020048 0.2008138 18.435 < 2e-16 ***
ORIGIN_GRID_ID555 3.3958556 0.2014348 16.858 < 2e-16 ***
ORIGIN_GRID_ID559 2.3751119 0.2150476 11.045 < 2e-16 ***
ORIGIN_GRID_ID560 2.1800038 0.2207103 9.877 < 2e-16 ***
ORIGIN_GRID_ID572 0.9307890 0.2500453 3.722 0.000197 ***
ORIGIN_GRID_ID573 2.4493098 0.2065188 11.860 < 2e-16 ***
ORIGIN_GRID_ID574 3.0293758 0.2171960 13.948 < 2e-16 ***
ORIGIN_GRID_ID575 5.8469322 0.2006891 29.134 < 2e-16 ***
ORIGIN_GRID_ID576 3.6021342 0.2009091 17.929 < 2e-16 ***
ORIGIN_GRID_ID578 -0.7005541 0.2862886 -2.447 0.014404 *
ORIGIN_GRID_ID582 1.8792762 0.2315634 8.116 4.83e-16 ***
ORIGIN_GRID_ID583 2.0879365 0.2369780 8.811 < 2e-16 ***
ORIGIN_GRID_ID584 3.1875225 0.2140375 14.892 < 2e-16 ***
ORIGIN_GRID_ID593 1.1830516 0.2290771 5.164 2.41e-07 ***
ORIGIN_GRID_ID594 2.1502385 0.2065124 10.412 < 2e-16 ***
ORIGIN_GRID_ID595 1.9380957 0.2020084 9.594 < 2e-16 ***
ORIGIN_GRID_ID596 3.2738509 0.2008672 16.299 < 2e-16 ***
ORIGIN_GRID_ID597 0.8599451 0.2227858 3.860 0.000113 ***
ORIGIN_GRID_ID603 1.5427349 0.2432190 6.343 2.25e-10 ***
ORIGIN_GRID_ID604 1.6680458 0.2463628 6.771 1.28e-11 ***
ORIGIN_GRID_ID615 1.0430054 0.2136147 4.883 1.05e-06 ***
ORIGIN_GRID_ID616 1.8213727 0.2041834 8.920 < 2e-16 ***
ORIGIN_GRID_ID617 0.9011492 0.2039972 4.417 9.99e-06 ***
ORIGIN_GRID_ID618 4.1345407 0.2007963 20.591 < 2e-16 ***
ORIGIN_GRID_ID620 0.6480723 0.2151175 3.013 0.002590 **
ORIGIN_GRID_ID637 1.2552989 0.2055626 6.107 1.02e-09 ***
ORIGIN_GRID_ID638 3.9201261 0.2008000 19.523 < 2e-16 ***
ORIGIN_GRID_ID657 2.7446584 0.2026361 13.545 < 2e-16 ***
ORIGIN_GRID_ID658 3.0253473 0.2012103 15.036 < 2e-16 ***
ORIGIN_GRID_ID659 3.3029590 0.2009585 16.436 < 2e-16 ***
ORIGIN_GRID_ID660 4.7821420 0.2007379 23.823 < 2e-16 ***
ORIGIN_GRID_ID662 4.9705355 0.2010205 24.727 < 2e-16 ***
ORIGIN_GRID_ID677 3.3471350 0.2032265 16.470 < 2e-16 ***
ORIGIN_GRID_ID678 0.8603176 0.2105762 4.086 4.40e-05 ***
ORIGIN_GRID_ID679 4.4550363 0.2007935 22.187 < 2e-16 ***
ORIGIN_GRID_ID680 4.4827870 0.2007743 22.327 < 2e-16 ***
ORIGIN_GRID_ID681 2.7925884 0.2016269 13.850 < 2e-16 ***
ORIGIN_GRID_ID699 2.8263615 0.2024586 13.960 < 2e-16 ***
ORIGIN_GRID_ID700 3.7795679 0.2009407 18.809 < 2e-16 ***
ORIGIN_GRID_ID701 2.9975939 0.2011573 14.902 < 2e-16 ***
ORIGIN_GRID_ID702 4.4123924 0.2007669 21.978 < 2e-16 ***
ORIGIN_GRID_ID704 1.5515165 0.2055195 7.549 4.38e-14 ***
ORIGIN_GRID_ID722 1.7546686 0.2024341 8.668 < 2e-16 ***
ORIGIN_GRID_ID725 1.4908359 0.2056730 7.249 4.21e-13 ***
ORIGIN_GRID_ID730 1.8455140 0.2198500 8.394 < 2e-16 ***
ORIGIN_GRID_ID741 2.4631187 0.2030833 12.129 < 2e-16 ***
ORIGIN_GRID_ID743 1.6115722 0.2024612 7.960 1.72e-15 ***
ORIGIN_GRID_ID744 3.8941445 0.2008399 19.389 < 2e-16 ***
ORIGIN_GRID_ID752 3.1955403 0.2053885 15.559 < 2e-16 ***
ORIGIN_GRID_ID761 2.9698788 0.2029005 14.637 < 2e-16 ***
ORIGIN_GRID_ID762 3.5568026 0.2011789 17.680 < 2e-16 ***
ORIGIN_GRID_ID763 0.9071318 0.2044508 4.437 9.13e-06 ***
ORIGIN_GRID_ID764 4.6217393 0.2007528 23.022 < 2e-16 ***
ORIGIN_GRID_ID765 3.0997527 0.2013788 15.393 < 2e-16 ***
ORIGIN_GRID_ID767 4.5894704 0.2008539 22.850 < 2e-16 ***
ORIGIN_GRID_ID772 3.0321401 0.2042512 14.845 < 2e-16 ***
ORIGIN_GRID_ID784 0.7028481 0.2050400 3.428 0.000608 ***
ORIGIN_GRID_ID785 3.4725112 0.2008619 17.288 < 2e-16 ***
ORIGIN_GRID_ID786 2.8956048 0.2010667 14.401 < 2e-16 ***
ORIGIN_GRID_ID787 3.4513107 0.2012563 17.149 < 2e-16 ***
ORIGIN_GRID_ID788 3.7518544 0.2010454 18.662 < 2e-16 ***
ORIGIN_GRID_ID789 2.4150231 0.2018445 11.965 < 2e-16 ***
ORIGIN_GRID_ID803 1.3098027 0.2111797 6.202 5.56e-10 ***
ORIGIN_GRID_ID804 4.3114623 0.2008736 21.464 < 2e-16 ***
ORIGIN_GRID_ID805 4.5751262 0.2007607 22.789 < 2e-16 ***
ORIGIN_GRID_ID806 3.6086109 0.2008626 17.966 < 2e-16 ***
ORIGIN_GRID_ID807 4.3558839 0.2008834 21.684 < 2e-16 ***
ORIGIN_GRID_ID808 2.4332575 0.2024492 12.019 < 2e-16 ***
ORIGIN_GRID_ID809 4.2234285 0.2008065 21.032 < 2e-16 ***
ORIGIN_GRID_ID810 3.4726273 0.2010272 17.274 < 2e-16 ***
ORIGIN_GRID_ID814 2.8532302 0.2041470 13.976 < 2e-16 ***
ORIGIN_GRID_ID819 4.3021976 0.2026006 21.235 < 2e-16 ***
ORIGIN_GRID_ID824 2.2684880 0.2056724 11.030 < 2e-16 ***
ORIGIN_GRID_ID826 1.5519511 0.2021661 7.677 1.63e-14 ***
ORIGIN_GRID_ID827 3.7689003 0.2008392 18.766 < 2e-16 ***
ORIGIN_GRID_ID828 4.0135984 0.2008029 19.988 < 2e-16 ***
ORIGIN_GRID_ID829 3.7604919 0.2009310 18.715 < 2e-16 ***
ORIGIN_GRID_ID830 3.5271589 0.2010453 17.544 < 2e-16 ***
ORIGIN_GRID_ID831 5.3657253 0.2007377 26.730 < 2e-16 ***
ORIGIN_GRID_ID832 4.7152439 0.2008586 23.475 < 2e-16 ***
ORIGIN_GRID_ID835 1.1612590 0.2155447 5.388 7.14e-08 ***
ORIGIN_GRID_ID844 1.1170616 0.2200272 5.077 3.84e-07 ***
ORIGIN_GRID_ID846 3.5912048 0.2009427 17.872 < 2e-16 ***
ORIGIN_GRID_ID847 3.5587432 0.2009243 17.712 < 2e-16 ***
ORIGIN_GRID_ID848 3.4012295 0.2009074 16.929 < 2e-16 ***
ORIGIN_GRID_ID849 2.4884425 0.2012756 12.363 < 2e-16 ***
ORIGIN_GRID_ID850 3.8422471 0.2008734 19.128 < 2e-16 ***
ORIGIN_GRID_ID851 3.9186394 0.2008333 19.512 < 2e-16 ***
ORIGIN_GRID_ID852 3.3735378 0.2010182 16.782 < 2e-16 ***
ORIGIN_GRID_ID853 5.1969419 0.2008733 25.872 < 2e-16 ***
ORIGIN_GRID_ID854 1.7948678 0.2106681 8.520 < 2e-16 ***
ORIGIN_GRID_ID855 1.0054628 0.2176074 4.621 3.83e-06 ***
ORIGIN_GRID_ID856 3.0655171 0.2034057 15.071 < 2e-16 ***
ORIGIN_GRID_ID866 2.9107057 0.2029371 14.343 < 2e-16 ***
ORIGIN_GRID_ID867 2.6571724 0.2015022 13.187 < 2e-16 ***
ORIGIN_GRID_ID868 2.7695591 0.2013935 13.752 < 2e-16 ***
ORIGIN_GRID_ID869 3.9379455 0.2011271 19.579 < 2e-16 ***
ORIGIN_GRID_ID870 4.7993476 0.2007423 23.908 < 2e-16 ***
ORIGIN_GRID_ID871 4.6738119 0.2008829 23.266 < 2e-16 ***
ORIGIN_GRID_ID872 2.0422200 0.2018616 10.117 < 2e-16 ***
ORIGIN_GRID_ID873 2.4438093 0.2014718 12.130 < 2e-16 ***
ORIGIN_GRID_ID874 2.2992356 0.2015346 11.409 < 2e-16 ***
ORIGIN_GRID_ID875 1.3119045 0.2232175 5.877 4.17e-09 ***
ORIGIN_GRID_ID876 0.5059927 0.2169155 2.333 0.019665 *
ORIGIN_GRID_ID877 2.9389632 0.2028597 14.488 < 2e-16 ***
ORIGIN_GRID_ID887 2.3090640 0.2020354 11.429 < 2e-16 ***
ORIGIN_GRID_ID888 2.8330154 0.2012574 14.077 < 2e-16 ***
ORIGIN_GRID_ID889 0.7015480 0.2076783 3.378 0.000730 ***
ORIGIN_GRID_ID890 4.1095286 0.2008090 20.465 < 2e-16 ***
ORIGIN_GRID_ID891 2.7038086 0.2018981 13.392 < 2e-16 ***
ORIGIN_GRID_ID893 4.0673380 0.2008068 20.255 < 2e-16 ***
ORIGIN_GRID_ID894 1.7715588 0.2022934 8.757 < 2e-16 ***
ORIGIN_GRID_ID895 2.1916042 0.2026388 10.815 < 2e-16 ***
ORIGIN_GRID_ID896 0.8526010 0.2097796 4.064 4.82e-05 ***
ORIGIN_GRID_ID897 0.3192004 0.2117182 1.508 0.131640
ORIGIN_GRID_ID898 2.2679326 0.2048682 11.070 < 2e-16 ***
ORIGIN_GRID_ID908 3.2024790 0.2024629 15.818 < 2e-16 ***
ORIGIN_GRID_ID909 3.1805197 0.2009585 15.827 < 2e-16 ***
ORIGIN_GRID_ID910 0.3407559 0.2087302 1.633 0.102570
ORIGIN_GRID_ID911 3.2934712 0.2010789 16.379 < 2e-16 ***
ORIGIN_GRID_ID912 4.0089803 0.2008271 19.962 < 2e-16 ***
ORIGIN_GRID_ID915 3.6986874 0.2008650 18.414 < 2e-16 ***
ORIGIN_GRID_ID917 4.0635939 0.2010127 20.216 < 2e-16 ***
ORIGIN_GRID_ID918 1.1176418 0.2055645 5.437 5.42e-08 ***
ORIGIN_GRID_ID919 2.0632477 0.2024276 10.193 < 2e-16 ***
ORIGIN_GRID_ID928 2.5025583 0.2019738 12.391 < 2e-16 ***
ORIGIN_GRID_ID929 3.4797427 0.2008939 17.321 < 2e-16 ***
ORIGIN_GRID_ID930 4.6213304 0.2007465 23.021 < 2e-16 ***
ORIGIN_GRID_ID931 1.1243361 0.2050129 5.484 4.15e-08 ***
ORIGIN_GRID_ID932 1.7439597 0.2051247 8.502 < 2e-16 ***
ORIGIN_GRID_ID933 3.5334975 0.2010378 17.576 < 2e-16 ***
ORIGIN_GRID_ID934 0.6526099 0.2059501 3.169 0.001531 **
ORIGIN_GRID_ID935 5.3476273 0.2007290 26.641 < 2e-16 ***
ORIGIN_GRID_ID938 0.1193950 0.2714943 0.440 0.660104
ORIGIN_GRID_ID939 5.0986934 0.2008166 25.390 < 2e-16 ***
ORIGIN_GRID_ID940 0.5095617 0.2350515 2.168 0.030168 *
ORIGIN_GRID_ID949 2.7039885 0.2016153 13.412 < 2e-16 ***
ORIGIN_GRID_ID950 4.6191073 0.2008090 23.002 < 2e-16 ***
ORIGIN_GRID_ID951 5.0066170 0.2007354 24.941 < 2e-16 ***
ORIGIN_GRID_ID952 1.9693558 0.2031108 9.696 < 2e-16 ***
ORIGIN_GRID_ID953 2.8925596 0.2015648 14.351 < 2e-16 ***
ORIGIN_GRID_ID954 1.3478195 0.2033760 6.627 3.42e-11 ***
ORIGIN_GRID_ID955 3.9706056 0.2008864 19.765 < 2e-16 ***
ORIGIN_GRID_ID956 1.7278079 0.2020098 8.553 < 2e-16 ***
ORIGIN_GRID_ID957 3.7803001 0.2009318 18.814 < 2e-16 ***
ORIGIN_GRID_ID959 1.7593346 0.2121910 8.291 < 2e-16 ***
ORIGIN_GRID_ID961 0.6807711 0.2056513 3.310 0.000932 ***
ORIGIN_GRID_ID962 7.6859826 0.2018880 38.071 < 2e-16 ***
ORIGIN_GRID_ID970 3.0945772 0.2010914 15.389 < 2e-16 ***
ORIGIN_GRID_ID971 3.8078544 0.2008125 18.962 < 2e-16 ***
ORIGIN_GRID_ID972 3.5373958 0.2008819 17.609 < 2e-16 ***
ORIGIN_GRID_ID974 3.0640869 0.2011936 15.230 < 2e-16 ***
ORIGIN_GRID_ID975 2.4016512 0.2016413 11.911 < 2e-16 ***
ORIGIN_GRID_ID976 2.3031568 0.2016366 11.422 < 2e-16 ***
ORIGIN_GRID_ID977 4.0805644 0.2008143 20.320 < 2e-16 ***
ORIGIN_GRID_ID978 3.7253240 0.2011361 18.521 < 2e-16 ***
ORIGIN_GRID_ID982 0.9837624 0.2034961 4.834 1.34e-06 ***
ORIGIN_GRID_ID983 5.7072588 0.2008480 28.416 < 2e-16 ***
ORIGIN_GRID_ID984 4.6264730 0.2018421 22.921 < 2e-16 ***
ORIGIN_GRID_ID991 3.3384374 0.2011162 16.600 < 2e-16 ***
ORIGIN_GRID_ID992 3.4349310 0.2009886 17.090 < 2e-16 ***
ORIGIN_GRID_ID993 2.4203316 0.2012402 12.027 < 2e-16 ***
ORIGIN_GRID_ID994 2.3392481 0.2015257 11.608 < 2e-16 ***
ORIGIN_GRID_ID995 4.0463389 0.2008540 20.146 < 2e-16 ***
ORIGIN_GRID_ID996 2.8990936 0.2012670 14.404 < 2e-16 ***
ORIGIN_GRID_ID997 1.8110281 0.2054259 8.816 < 2e-16 ***
ORIGIN_GRID_ID998 4.3166880 0.2008276 21.494 < 2e-16 ***
ORIGIN_GRID_ID999 4.0487443 0.2009468 20.148 < 2e-16 ***
ORIGIN_GRID_ID1001 1.9104248 0.2064818 9.252 < 2e-16 ***
ORIGIN_GRID_ID1003 4.3519179 0.2008200 21.671 < 2e-16 ***
ORIGIN_GRID_ID1004 4.3737928 0.2008353 21.778 < 2e-16 ***
ORIGIN_GRID_ID1011 1.8641991 0.2040418 9.136 < 2e-16 ***
ORIGIN_GRID_ID1012 2.8306549 0.2021111 14.005 < 2e-16 ***
ORIGIN_GRID_ID1013 2.3966705 0.2016532 11.885 < 2e-16 ***
ORIGIN_GRID_ID1014 2.4448049 0.2015130 12.132 < 2e-16 ***
ORIGIN_GRID_ID1015 1.7283292 0.2024019 8.539 < 2e-16 ***
ORIGIN_GRID_ID1016 3.9961044 0.2008762 19.893 < 2e-16 ***
ORIGIN_GRID_ID1018 3.0096038 0.2016903 14.922 < 2e-16 ***
ORIGIN_GRID_ID1019 4.7405868 0.2008513 23.602 < 2e-16 ***
ORIGIN_GRID_ID1023 2.8709465 0.2016119 14.240 < 2e-16 ***
ORIGIN_GRID_ID1024 3.9785560 0.2008967 19.804 < 2e-16 ***
ORIGIN_GRID_ID1025 1.1308596 0.2090366 5.410 6.31e-08 ***
ORIGIN_GRID_ID1033 2.8179028 0.2014181 13.990 < 2e-16 ***
ORIGIN_GRID_ID1034 3.3444644 0.2010352 16.636 < 2e-16 ***
ORIGIN_GRID_ID1035 3.5337187 0.2009645 17.584 < 2e-16 ***
ORIGIN_GRID_ID1036 3.5961174 0.2009678 17.894 < 2e-16 ***
ORIGIN_GRID_ID1037 3.4721299 0.2009239 17.281 < 2e-16 ***
ORIGIN_GRID_ID1043 3.5948674 0.2018771 17.807 < 2e-16 ***
ORIGIN_GRID_ID1045 4.0234022 0.2008406 20.033 < 2e-16 ***
ORIGIN_GRID_ID1046 3.9880994 0.2009256 19.849 < 2e-16 ***
ORIGIN_GRID_ID1053 3.3905005 0.2011259 16.858 < 2e-16 ***
ORIGIN_GRID_ID1054 2.5721621 0.2014820 12.766 < 2e-16 ***
ORIGIN_GRID_ID1055 3.7771427 0.2009079 18.800 < 2e-16 ***
ORIGIN_GRID_ID1056 2.8859410 0.2012717 14.339 < 2e-16 ***
ORIGIN_GRID_ID1064 1.1303886 0.2694173 4.196 2.72e-05 ***
ORIGIN_GRID_ID1066 4.0775614 0.2008329 20.303 < 2e-16 ***
ORIGIN_GRID_ID1067 -0.6344800 0.2640511 -2.403 0.016267 *
ORIGIN_GRID_ID1074 3.2975728 0.2011715 16.392 < 2e-16 ***
ORIGIN_GRID_ID1075 1.4289471 0.2037698 7.013 2.34e-12 ***
ORIGIN_GRID_ID1076 2.6836394 0.2012509 13.335 < 2e-16 ***
ORIGIN_GRID_ID1077 2.5450118 0.2015636 12.626 < 2e-16 ***
ORIGIN_GRID_ID1079 3.5873094 0.2009604 17.851 < 2e-16 ***
ORIGIN_GRID_ID1085 -0.0057161 0.2265390 -0.025 0.979870
ORIGIN_GRID_ID1087 3.0041227 0.2010634 14.941 < 2e-16 ***
ORIGIN_GRID_ID1088 1.7560821 0.2020489 8.691 < 2e-16 ***
ORIGIN_GRID_ID1094 1.0354130 0.2170388 4.771 1.84e-06 ***
ORIGIN_GRID_ID1095 1.5862756 0.2077770 7.635 2.27e-14 ***
ORIGIN_GRID_ID1096 2.2776169 0.2071735 10.994 < 2e-16 ***
ORIGIN_GRID_ID1097 4.2828172 0.2008002 21.329 < 2e-16 ***
ORIGIN_GRID_ID1098 1.8780371 0.2031714 9.244 < 2e-16 ***
ORIGIN_GRID_ID1099 3.3401718 0.2010197 16.616 < 2e-16 ***
ORIGIN_GRID_ID1105 4.6633219 0.2016986 23.120 < 2e-16 ***
ORIGIN_GRID_ID1106 -0.1416044 0.2492331 -0.568 0.569926
ORIGIN_GRID_ID1107 1.7850364 0.2043192 8.737 < 2e-16 ***
ORIGIN_GRID_ID1108 5.7525083 0.2007405 28.656 < 2e-16 ***
ORIGIN_GRID_ID1109 1.2100784 0.2060871 5.872 4.31e-09 ***
ORIGIN_GRID_ID1116 2.4932372 0.2016588 12.364 < 2e-16 ***
ORIGIN_GRID_ID1117 2.3270993 0.2020875 11.515 < 2e-16 ***
ORIGIN_GRID_ID1118 1.5493728 0.2038662 7.600 2.96e-14 ***
ORIGIN_GRID_ID1119 3.0836674 0.2011362 15.331 < 2e-16 ***
ORIGIN_GRID_ID1120 2.4708025 0.2020534 12.228 < 2e-16 ***
ORIGIN_GRID_ID1129 3.6491874 0.2009294 18.162 < 2e-16 ***
ORIGIN_GRID_ID1130 3.7225378 0.2008738 18.532 < 2e-16 ***
ORIGIN_GRID_ID1131 3.3810187 0.2017249 16.761 < 2e-16 ***
ORIGIN_GRID_ID1136 2.2459779 0.2019723 11.120 < 2e-16 ***
ORIGIN_GRID_ID1138 1.4656342 0.2049643 7.151 8.63e-13 ***
ORIGIN_GRID_ID1139 3.6577165 0.2008797 18.208 < 2e-16 ***
ORIGIN_GRID_ID1141 3.2983833 0.2010535 16.405 < 2e-16 ***
ORIGIN_GRID_ID1148 1.4169015 0.2117670 6.691 2.22e-11 ***
ORIGIN_GRID_ID1149 2.5011992 0.2020235 12.381 < 2e-16 ***
ORIGIN_GRID_ID1150 3.7563757 0.2008495 18.702 < 2e-16 ***
ORIGIN_GRID_ID1151 3.1997499 0.2011523 15.907 < 2e-16 ***
ORIGIN_GRID_ID1158 2.2505468 0.2017396 11.156 < 2e-16 ***
ORIGIN_GRID_ID1159 3.2061340 0.2009711 15.953 < 2e-16 ***
ORIGIN_GRID_ID1160 4.1442469 0.2008045 20.638 < 2e-16 ***
ORIGIN_GRID_ID1171 4.3509305 0.2008716 21.660 < 2e-16 ***
ORIGIN_GRID_ID1172 4.5320994 0.2008226 22.568 < 2e-16 ***
ORIGIN_GRID_ID1173 2.6040715 0.2020245 12.890 < 2e-16 ***
ORIGIN_GRID_ID1174 0.6165396 0.3208628 1.922 0.054668 .
ORIGIN_GRID_ID1178 2.9863406 0.2011328 14.848 < 2e-16 ***
ORIGIN_GRID_ID1179 3.4266340 0.2009282 17.054 < 2e-16 ***
ORIGIN_GRID_ID1180 4.0264045 0.2008088 20.051 < 2e-16 ***
ORIGIN_GRID_ID1181 3.0348521 0.2010318 15.096 < 2e-16 ***
ORIGIN_GRID_ID1183 2.4811639 0.2016431 12.305 < 2e-16 ***
ORIGIN_GRID_ID1190 1.3133974 0.2130926 6.164 7.12e-10 ***
ORIGIN_GRID_ID1192 3.6624032 0.2009720 18.223 < 2e-16 ***
ORIGIN_GRID_ID1193 3.5791364 0.2010210 17.805 < 2e-16 ***
ORIGIN_GRID_ID1194 2.7867915 0.2022278 13.780 < 2e-16 ***
ORIGIN_GRID_ID1200 2.8107319 0.2011763 13.971 < 2e-16 ***
ORIGIN_GRID_ID1201 3.3775908 0.2009318 16.810 < 2e-16 ***
ORIGIN_GRID_ID1203 3.6348773 0.2009418 18.089 < 2e-16 ***
ORIGIN_GRID_ID1204 2.5867232 0.2014547 12.840 < 2e-16 ***
ORIGIN_GRID_ID1211 3.0338749 0.2061543 14.717 < 2e-16 ***
ORIGIN_GRID_ID1214 3.9886368 0.2009045 19.853 < 2e-16 ***
ORIGIN_GRID_ID1215 1.5116889 0.2086494 7.245 4.32e-13 ***
ORIGIN_GRID_ID1216 2.2806523 0.2047445 11.139 < 2e-16 ***
ORIGIN_GRID_ID1220 3.6935123 0.2008794 18.387 < 2e-16 ***
ORIGIN_GRID_ID1221 3.5312380 0.2008617 17.580 < 2e-16 ***
ORIGIN_GRID_ID1222 3.0945477 0.2015224 15.356 < 2e-16 ***
ORIGIN_GRID_ID1223 2.4370138 0.2015391 12.092 < 2e-16 ***
ORIGIN_GRID_ID1224 2.7497805 0.2013000 13.660 < 2e-16 ***
ORIGIN_GRID_ID1231 1.5466841 0.2114667 7.314 2.59e-13 ***
ORIGIN_GRID_ID1232 2.4711776 0.2089701 11.826 < 2e-16 ***
ORIGIN_GRID_ID1235 1.9468545 0.2022479 9.626 < 2e-16 ***
ORIGIN_GRID_ID1236 3.1536288 0.2017404 15.632 < 2e-16 ***
ORIGIN_GRID_ID1241 2.4751070 0.2012733 12.297 < 2e-16 ***
ORIGIN_GRID_ID1242 2.8099123 0.2010898 13.973 < 2e-16 ***
ORIGIN_GRID_ID1243 3.6021703 0.2008590 17.934 < 2e-16 ***
ORIGIN_GRID_ID1246 3.3529652 0.2010093 16.681 < 2e-16 ***
ORIGIN_GRID_ID1256 2.8032062 0.2013773 13.920 < 2e-16 ***
ORIGIN_GRID_ID1257 4.0021835 0.2010278 19.909 < 2e-16 ***
ORIGIN_GRID_ID1258 3.2867012 0.2017137 16.294 < 2e-16 ***
ORIGIN_GRID_ID1262 2.1777168 0.2014409 10.811 < 2e-16 ***
ORIGIN_GRID_ID1263 3.8054556 0.2008079 18.951 < 2e-16 ***
ORIGIN_GRID_ID1264 2.6686128 0.2013229 13.255 < 2e-16 ***
ORIGIN_GRID_ID1265 2.7494562 0.2013156 13.657 < 2e-16 ***
ORIGIN_GRID_ID1266 3.1583320 0.2011615 15.700 < 2e-16 ***
ORIGIN_GRID_ID1267 2.6829300 0.2021209 13.274 < 2e-16 ***
ORIGIN_GRID_ID1272 0.0423078 0.2288197 0.185 0.853311
ORIGIN_GRID_ID1273 2.8464597 0.2018393 14.103 < 2e-16 ***
ORIGIN_GRID_ID1277 4.2425585 0.2008729 21.121 < 2e-16 ***
ORIGIN_GRID_ID1278 2.7749054 0.2017128 13.757 < 2e-16 ***
ORIGIN_GRID_ID1283 4.6790747 0.2007750 23.305 < 2e-16 ***
ORIGIN_GRID_ID1284 3.5619596 0.2008605 17.733 < 2e-16 ***
ORIGIN_GRID_ID1285 4.2400280 0.2007859 21.117 < 2e-16 ***
ORIGIN_GRID_ID1286 2.7710479 0.2013170 13.765 < 2e-16 ***
ORIGIN_GRID_ID1289 1.8963279 0.2046427 9.267 < 2e-16 ***
ORIGIN_GRID_ID1293 1.2915636 0.2144385 6.023 1.71e-09 ***
ORIGIN_GRID_ID1294 3.9669682 0.2011718 19.719 < 2e-16 ***
ORIGIN_GRID_ID1295 2.5402596 0.2023518 12.554 < 2e-16 ***
ORIGIN_GRID_ID1298 2.9132793 0.2012355 14.477 < 2e-16 ***
ORIGIN_GRID_ID1299 3.7606923 0.2010923 18.701 < 2e-16 ***
ORIGIN_GRID_ID1304 3.8229325 0.2008369 19.035 < 2e-16 ***
ORIGIN_GRID_ID1305 3.6075658 0.2008185 17.964 < 2e-16 ***
ORIGIN_GRID_ID1307 1.0626071 0.2045691 5.194 2.05e-07 ***
ORIGIN_GRID_ID1308 3.3589496 0.2009870 16.712 < 2e-16 ***
ORIGIN_GRID_ID1310 0.5123816 0.2297593 2.230 0.025742 *
ORIGIN_GRID_ID1316 1.1257090 0.2063531 5.455 4.89e-08 ***
ORIGIN_GRID_ID1317 1.9746855 0.2022128 9.765 < 2e-16 ***
ORIGIN_GRID_ID1318 1.0979215 0.2043094 5.374 7.71e-08 ***
ORIGIN_GRID_ID1319 4.6235911 0.2008272 23.023 < 2e-16 ***
ORIGIN_GRID_ID1320 3.2340496 0.2015398 16.047 < 2e-16 ***
ORIGIN_GRID_ID1325 1.5117282 0.2021893 7.477 7.62e-14 ***
ORIGIN_GRID_ID1326 3.5241505 0.2008493 17.546 < 2e-16 ***
ORIGIN_GRID_ID1327 3.4422986 0.2008591 17.138 < 2e-16 ***
ORIGIN_GRID_ID1328 2.7868511 0.2010465 13.862 < 2e-16 ***
ORIGIN_GRID_ID1329 3.0959309 0.2012484 15.384 < 2e-16 ***
ORIGIN_GRID_ID1330 2.7935030 0.2015667 13.859 < 2e-16 ***
ORIGIN_GRID_ID1331 -0.0581264 0.2734674 -0.213 0.831675
ORIGIN_GRID_ID1333 2.5703198 0.2018216 12.736 < 2e-16 ***
ORIGIN_GRID_ID1334 2.9260836 0.2016199 14.513 < 2e-16 ***
ORIGIN_GRID_ID1335 3.0307216 0.2016541 15.029 < 2e-16 ***
ORIGIN_GRID_ID1336 0.7077407 0.2304709 3.071 0.002135 **
ORIGIN_GRID_ID1337 0.4506574 0.2106411 2.139 0.032399 *
ORIGIN_GRID_ID1338 -0.2735677 0.2177960 -1.256 0.209090
ORIGIN_GRID_ID1339 4.8327919 0.2007869 24.069 < 2e-16 ***
ORIGIN_GRID_ID1340 3.5944746 0.2010426 17.879 < 2e-16 ***
ORIGIN_GRID_ID1341 -1.8822352 0.7350507 -2.561 0.010447 *
ORIGIN_GRID_ID1346 3.5447193 0.2009616 17.639 < 2e-16 ***
ORIGIN_GRID_ID1347 4.5626391 0.2007638 22.726 < 2e-16 ***
ORIGIN_GRID_ID1348 3.3429349 0.2008624 16.643 < 2e-16 ***
ORIGIN_GRID_ID1349 3.7616623 0.2008423 18.729 < 2e-16 ***
ORIGIN_GRID_ID1350 2.4517186 0.2018852 12.144 < 2e-16 ***
ORIGIN_GRID_ID1353 2.9867628 0.2011949 14.845 < 2e-16 ***
ORIGIN_GRID_ID1354 2.1831167 0.2020676 10.804 < 2e-16 ***
ORIGIN_GRID_ID1355 3.1560541 0.2012624 15.681 < 2e-16 ***
ORIGIN_GRID_ID1357 1.3471016 0.2058377 6.544 5.97e-11 ***
ORIGIN_GRID_ID1358 3.2891706 0.2011229 16.354 < 2e-16 ***
ORIGIN_GRID_ID1359 3.3733749 0.2009769 16.785 < 2e-16 ***
ORIGIN_GRID_ID1360 3.2381276 0.2010301 16.108 < 2e-16 ***
ORIGIN_GRID_ID1361 4.2288524 0.2009150 21.048 < 2e-16 ***
ORIGIN_GRID_ID1362 0.9165489 0.2181778 4.201 2.66e-05 ***
ORIGIN_GRID_ID1368 2.5494132 0.2011193 12.676 < 2e-16 ***
ORIGIN_GRID_ID1369 2.1085021 0.2012570 10.477 < 2e-16 ***
ORIGIN_GRID_ID1370 4.2477565 0.2007615 21.158 < 2e-16 ***
ORIGIN_GRID_ID1371 2.7431624 0.2013314 13.625 < 2e-16 ***
ORIGIN_GRID_ID1372 1.4290488 0.2029424 7.042 1.90e-12 ***
ORIGIN_GRID_ID1373 0.7754605 0.2090337 3.710 0.000207 ***
ORIGIN_GRID_ID1374 2.1793256 0.2016517 10.807 < 2e-16 ***
ORIGIN_GRID_ID1375 3.4039028 0.2012250 16.916 < 2e-16 ***
ORIGIN_GRID_ID1376 2.5973190 0.2020897 12.852 < 2e-16 ***
ORIGIN_GRID_ID1379 0.7162991 0.2102818 3.406 0.000658 ***
ORIGIN_GRID_ID1380 4.7420496 0.2007809 23.618 < 2e-16 ***
ORIGIN_GRID_ID1381 4.6017643 0.2008023 22.917 < 2e-16 ***
ORIGIN_GRID_ID1382 3.7769792 0.2010238 18.789 < 2e-16 ***
ORIGIN_GRID_ID1383 1.2456486 0.2052673 6.068 1.29e-09 ***
ORIGIN_GRID_ID1388 2.9689817 0.2010093 14.770 < 2e-16 ***
ORIGIN_GRID_ID1389 2.4981137 0.2010797 12.423 < 2e-16 ***
ORIGIN_GRID_ID1390 2.9837333 0.2009196 14.850 < 2e-16 ***
ORIGIN_GRID_ID1391 2.9096775 0.2010002 14.476 < 2e-16 ***
ORIGIN_GRID_ID1392 2.6333040 0.2018331 13.047 < 2e-16 ***
ORIGIN_GRID_ID1393 1.2765259 0.2028494 6.293 3.11e-10 ***
ORIGIN_GRID_ID1394 3.3327058 0.2009570 16.584 < 2e-16 ***
ORIGIN_GRID_ID1395 3.3336881 0.2009576 16.589 < 2e-16 ***
ORIGIN_GRID_ID1396 3.9109183 0.2008837 19.469 < 2e-16 ***
ORIGIN_GRID_ID1397 3.6177131 0.2010220 17.997 < 2e-16 ***
ORIGIN_GRID_ID1398 2.7399511 0.2020174 13.563 < 2e-16 ***
ORIGIN_GRID_ID1400 2.9670884 0.2013719 14.734 < 2e-16 ***
ORIGIN_GRID_ID1401 3.9972521 0.2008349 19.903 < 2e-16 ***
ORIGIN_GRID_ID1402 4.1081523 0.2008655 20.452 < 2e-16 ***
ORIGIN_GRID_ID1404 4.3040512 0.2018918 21.319 < 2e-16 ***
ORIGIN_GRID_ID1410 2.7461206 0.2010037 13.662 < 2e-16 ***
ORIGIN_GRID_ID1411 2.6424681 0.2010450 13.144 < 2e-16 ***
ORIGIN_GRID_ID1412 3.9749195 0.2007740 19.798 < 2e-16 ***
ORIGIN_GRID_ID1413 3.6527836 0.2008426 18.187 < 2e-16 ***
ORIGIN_GRID_ID1414 2.8833546 0.2010012 14.345 < 2e-16 ***
ORIGIN_GRID_ID1415 2.5789561 0.2012087 12.817 < 2e-16 ***
ORIGIN_GRID_ID1416 2.6600935 0.2011780 13.223 < 2e-16 ***
ORIGIN_GRID_ID1417 3.1608608 0.2009643 15.728 < 2e-16 ***
ORIGIN_GRID_ID1418 3.6886311 0.2008958 18.361 < 2e-16 ***
ORIGIN_GRID_ID1419 3.1192875 0.2011648 15.506 < 2e-16 ***
ORIGIN_GRID_ID1422 3.7371199 0.2010080 18.592 < 2e-16 ***
ORIGIN_GRID_ID1423 4.6707568 0.2008325 23.257 < 2e-16 ***
ORIGIN_GRID_ID1430 3.4409874 0.2009266 17.126 < 2e-16 ***
ORIGIN_GRID_ID1431 4.6499855 0.2007465 23.163 < 2e-16 ***
ORIGIN_GRID_ID1432 3.6690744 0.2007958 18.273 < 2e-16 ***
ORIGIN_GRID_ID1433 2.0215074 0.2021184 10.002 < 2e-16 ***
ORIGIN_GRID_ID1434 3.9434667 0.2008151 19.637 < 2e-16 ***
ORIGIN_GRID_ID1435 3.4362443 0.2008584 17.108 < 2e-16 ***
ORIGIN_GRID_ID1436 1.1917414 0.2034115 5.859 4.66e-09 ***
ORIGIN_GRID_ID1437 3.8472083 0.2008408 19.156 < 2e-16 ***
ORIGIN_GRID_ID1438 4.0348081 0.2007954 20.094 < 2e-16 ***
ORIGIN_GRID_ID1439 4.2192367 0.2008178 21.010 < 2e-16 ***
ORIGIN_GRID_ID1440 1.8166999 0.2032600 8.938 < 2e-16 ***
ORIGIN_GRID_ID1442 3.2555868 0.2013193 16.171 < 2e-16 ***
ORIGIN_GRID_ID1443 4.5200788 0.2008622 22.503 < 2e-16 ***
ORIGIN_GRID_ID1444 4.0661925 0.2011277 20.217 < 2e-16 ***
ORIGIN_GRID_ID1452 3.2737766 0.2008913 16.296 < 2e-16 ***
ORIGIN_GRID_ID1453 3.1554241 0.2008677 15.709 < 2e-16 ***
ORIGIN_GRID_ID1454 2.6617833 0.2013094 13.222 < 2e-16 ***
ORIGIN_GRID_ID1455 2.8163026 0.2011377 14.002 < 2e-16 ***
ORIGIN_GRID_ID1456 3.6519011 0.2008566 18.182 < 2e-16 ***
ORIGIN_GRID_ID1457 3.7761669 0.2008337 18.802 < 2e-16 ***
ORIGIN_GRID_ID1458 4.6775041 0.2007599 23.299 < 2e-16 ***
ORIGIN_GRID_ID1459 3.4111002 0.2008818 16.981 < 2e-16 ***
ORIGIN_GRID_ID1460 3.3671142 0.2009063 16.760 < 2e-16 ***
ORIGIN_GRID_ID1461 2.3549524 0.2020671 11.654 < 2e-16 ***
ORIGIN_GRID_ID1464 4.5992775 0.2008716 22.897 < 2e-16 ***
ORIGIN_GRID_ID1465 4.2540186 0.2009949 21.165 < 2e-16 ***
ORIGIN_GRID_ID1472 1.6593558 0.2023619 8.200 2.41e-16 ***
ORIGIN_GRID_ID1473 2.5203342 0.2010993 12.533 < 2e-16 ***
ORIGIN_GRID_ID1474 3.9151341 0.2007693 19.501 < 2e-16 ***
ORIGIN_GRID_ID1475 4.4948375 0.2007595 22.389 < 2e-16 ***
ORIGIN_GRID_ID1476 3.2029013 0.2009652 15.938 < 2e-16 ***
ORIGIN_GRID_ID1477 4.9746475 0.2007310 24.783 < 2e-16 ***
ORIGIN_GRID_ID1478 2.6636504 0.2010703 13.247 < 2e-16 ***
ORIGIN_GRID_ID1479 2.8987724 0.2009966 14.422 < 2e-16 ***
ORIGIN_GRID_ID1480 5.0695064 0.2007364 25.255 < 2e-16 ***
ORIGIN_GRID_ID1481 2.0492562 0.2018138 10.154 < 2e-16 ***
ORIGIN_GRID_ID1482 2.2579441 0.2024390 11.154 < 2e-16 ***
ORIGIN_GRID_ID1485 4.0542949 0.2010194 20.169 < 2e-16 ***
ORIGIN_GRID_ID1494 2.3383265 0.2017329 11.591 < 2e-16 ***
ORIGIN_GRID_ID1495 3.0560074 0.2008948 15.212 < 2e-16 ***
ORIGIN_GRID_ID1496 4.3949488 0.2007445 21.893 < 2e-16 ***
ORIGIN_GRID_ID1497 3.9009666 0.2008315 19.424 < 2e-16 ***
ORIGIN_GRID_ID1498 3.7769034 0.2008234 18.807 < 2e-16 ***
ORIGIN_GRID_ID1499 3.8969588 0.2008016 19.407 < 2e-16 ***
ORIGIN_GRID_ID1500 3.7685089 0.2009573 18.753 < 2e-16 ***
ORIGIN_GRID_ID1501 4.0705427 0.2007940 20.272 < 2e-16 ***
ORIGIN_GRID_ID1502 3.5435985 0.2008903 17.639 < 2e-16 ***
ORIGIN_GRID_ID1506 -0.3670083 0.2581197 -1.422 0.155069
ORIGIN_GRID_ID1514 -2.0617596 1.0201461 -2.021 0.043275 *
ORIGIN_GRID_ID1515 2.2505410 0.2017244 11.157 < 2e-16 ***
ORIGIN_GRID_ID1516 3.8793749 0.2007876 19.321 < 2e-16 ***
ORIGIN_GRID_ID1517 3.3937944 0.2008879 16.894 < 2e-16 ***
ORIGIN_GRID_ID1518 3.1308360 0.2010104 15.575 < 2e-16 ***
ORIGIN_GRID_ID1519 3.7361607 0.2009250 18.595 < 2e-16 ***
ORIGIN_GRID_ID1520 2.5050973 0.2011589 12.453 < 2e-16 ***
ORIGIN_GRID_ID1521 1.3317588 0.2025868 6.574 4.91e-11 ***
ORIGIN_GRID_ID1522 4.1600299 0.2008056 20.717 < 2e-16 ***
ORIGIN_GRID_ID1523 3.0584765 0.2021381 15.131 < 2e-16 ***
ORIGIN_GRID_ID1524 2.9963180 0.2015707 14.865 < 2e-16 ***
ORIGIN_GRID_ID1527 2.1582082 0.2043928 10.559 < 2e-16 ***
ORIGIN_GRID_ID1535 3.8605868 0.2041346 18.912 < 2e-16 ***
ORIGIN_GRID_ID1536 2.5676818 0.2017766 12.725 < 2e-16 ***
ORIGIN_GRID_ID1537 2.7573754 0.2010577 13.714 < 2e-16 ***
ORIGIN_GRID_ID1538 3.5070256 0.2008221 17.463 < 2e-16 ***
ORIGIN_GRID_ID1539 3.4906619 0.2008326 17.381 < 2e-16 ***
ORIGIN_GRID_ID1540 3.4958736 0.2008621 17.404 < 2e-16 ***
ORIGIN_GRID_ID1541 4.5734303 0.2009276 22.762 < 2e-16 ***
ORIGIN_GRID_ID1542 1.9807806 0.2022889 9.792 < 2e-16 ***
ORIGIN_GRID_ID1543 2.4613813 0.2042286 12.052 < 2e-16 ***
ORIGIN_GRID_ID1544 3.4675811 0.2010914 17.244 < 2e-16 ***
ORIGIN_GRID_ID1547 1.1681868 0.2129356 5.486 4.11e-08 ***
ORIGIN_GRID_ID1556 2.5648733 0.2113083 12.138 < 2e-16 ***
ORIGIN_GRID_ID1557 2.7211028 0.2016609 13.493 < 2e-16 ***
ORIGIN_GRID_ID1558 1.6662823 0.2032038 8.200 2.40e-16 ***
ORIGIN_GRID_ID1559 3.8227927 0.2007944 19.038 < 2e-16 ***
ORIGIN_GRID_ID1560 4.1239984 0.2007833 20.540 < 2e-16 ***
ORIGIN_GRID_ID1561 3.6289520 0.2009326 18.061 < 2e-16 ***
ORIGIN_GRID_ID1562 1.4556181 0.2027531 7.179 7.01e-13 ***
ORIGIN_GRID_ID1563 2.6772211 0.2011344 13.311 < 2e-16 ***
ORIGIN_GRID_ID1564 2.0650289 0.2018103 10.233 < 2e-16 ***
ORIGIN_GRID_ID1565 1.9857989 0.2021938 9.821 < 2e-16 ***
ORIGIN_GRID_ID1566 1.7154504 0.2034296 8.433 < 2e-16 ***
ORIGIN_GRID_ID1567 0.0787025 0.2375631 0.331 0.740425
ORIGIN_GRID_ID1568 1.3400146 0.2114279 6.338 2.33e-10 ***
ORIGIN_GRID_ID1578 0.3722280 0.2578745 1.443 0.148895
ORIGIN_GRID_ID1580 2.6168260 0.2017666 12.970 < 2e-16 ***
ORIGIN_GRID_ID1581 1.2070167 0.2023510 5.965 2.45e-09 ***
ORIGIN_GRID_ID1582 3.7424033 0.2008130 18.636 < 2e-16 ***
ORIGIN_GRID_ID1583 1.9791076 0.2043890 9.683 < 2e-16 ***
ORIGIN_GRID_ID1584 2.1908254 0.2015784 10.868 < 2e-16 ***
ORIGIN_GRID_ID1585 3.7806714 0.2009529 18.814 < 2e-16 ***
ORIGIN_GRID_ID1586 2.0550175 0.2018875 10.179 < 2e-16 ***
ORIGIN_GRID_ID1589 0.6375143 0.2188043 2.914 0.003573 **
ORIGIN_GRID_ID1590 1.0381583 0.2172282 4.779 1.76e-06 ***
ORIGIN_GRID_ID1600 3.9274213 0.2014319 19.498 < 2e-16 ***
ORIGIN_GRID_ID1601 3.0311320 0.2009284 15.086 < 2e-16 ***
ORIGIN_GRID_ID1602 3.4194809 0.2009285 17.018 < 2e-16 ***
ORIGIN_GRID_ID1603 3.9567915 0.2008197 19.703 < 2e-16 ***
ORIGIN_GRID_ID1604 2.5727019 0.2011388 12.791 < 2e-16 ***
ORIGIN_GRID_ID1605 3.7147557 0.2008291 18.497 < 2e-16 ***
ORIGIN_GRID_ID1606 3.5173256 0.2013040 17.473 < 2e-16 ***
ORIGIN_GRID_ID1607 2.2577164 0.2015692 11.201 < 2e-16 ***
ORIGIN_GRID_ID1608 4.1665756 0.2008828 20.741 < 2e-16 ***
ORIGIN_GRID_ID1609 3.8773998 0.2010045 19.290 < 2e-16 ***
ORIGIN_GRID_ID1610 1.0676920 0.2216950 4.816 1.46e-06 ***
ORIGIN_GRID_ID1622 3.2874894 0.2019191 16.281 < 2e-16 ***
ORIGIN_GRID_ID1623 3.7889129 0.2008083 18.868 < 2e-16 ***
ORIGIN_GRID_ID1624 2.9668645 0.2011061 14.753 < 2e-16 ***
ORIGIN_GRID_ID1625 3.6800847 0.2008805 18.320 < 2e-16 ***
ORIGIN_GRID_ID1626 5.0498579 0.2007399 25.156 < 2e-16 ***
ORIGIN_GRID_ID1627 2.7128230 0.2010997 13.490 < 2e-16 ***
ORIGIN_GRID_ID1628 4.2976213 0.2008006 21.402 < 2e-16 ***
ORIGIN_GRID_ID1629 2.9288097 0.2013135 14.549 < 2e-16 ***
ORIGIN_GRID_ID1630 3.1031073 0.2012489 15.419 < 2e-16 ***
ORIGIN_GRID_ID1631 0.2516356 0.2224218 1.131 0.257910
ORIGIN_GRID_ID1642 1.5017801 0.2054719 7.309 2.69e-13 ***
ORIGIN_GRID_ID1643 3.6077306 0.2008370 17.963 < 2e-16 ***
ORIGIN_GRID_ID1644 1.9168546 0.2025709 9.463 < 2e-16 ***
ORIGIN_GRID_ID1645 3.2000913 0.2009911 15.922 < 2e-16 ***
ORIGIN_GRID_ID1646 2.5297475 0.2015006 12.555 < 2e-16 ***
ORIGIN_GRID_ID1647 3.4574168 0.2008590 17.213 < 2e-16 ***
ORIGIN_GRID_ID1648 3.5064770 0.2008839 17.455 < 2e-16 ***
ORIGIN_GRID_ID1649 4.0591467 0.2008344 20.211 < 2e-16 ***
ORIGIN_GRID_ID1650 4.0852940 0.2009369 20.331 < 2e-16 ***
ORIGIN_GRID_ID1664 0.0244824 0.2288742 0.107 0.914814
ORIGIN_GRID_ID1665 4.0116496 0.2007935 19.979 < 2e-16 ***
ORIGIN_GRID_ID1666 2.9634855 0.2009975 14.744 < 2e-16 ***
ORIGIN_GRID_ID1667 3.4832742 0.2014474 17.291 < 2e-16 ***
ORIGIN_GRID_ID1668 3.4966210 0.2008815 17.406 < 2e-16 ***
ORIGIN_GRID_ID1670 4.1844525 0.2007947 20.839 < 2e-16 ***
ORIGIN_GRID_ID1671 4.4595273 0.2009856 22.188 < 2e-16 ***
ORIGIN_GRID_ID1672 3.6964422 0.2010887 18.382 < 2e-16 ***
ORIGIN_GRID_ID1684 2.7800623 0.2018604 13.772 < 2e-16 ***
ORIGIN_GRID_ID1685 3.4793966 0.2008900 17.320 < 2e-16 ***
ORIGIN_GRID_ID1686 3.4922865 0.2008869 17.384 < 2e-16 ***
ORIGIN_GRID_ID1687 3.2037070 0.2012236 15.921 < 2e-16 ***
ORIGIN_GRID_ID1688 2.8731237 0.2010787 14.289 < 2e-16 ***
ORIGIN_GRID_ID1689 2.2858222 0.2014411 11.347 < 2e-16 ***
ORIGIN_GRID_ID1690 2.6687263 0.2012549 13.260 < 2e-16 ***
ORIGIN_GRID_ID1691 3.6688500 0.2008754 18.264 < 2e-16 ***
ORIGIN_GRID_ID1692 3.0350780 0.2013897 15.071 < 2e-16 ***
ORIGIN_GRID_ID1706 3.3986368 0.2009925 16.909 < 2e-16 ***
ORIGIN_GRID_ID1707 3.2630066 0.2008881 16.243 < 2e-16 ***
ORIGIN_GRID_ID1708 3.7315541 0.2008482 18.579 < 2e-16 ***
ORIGIN_GRID_ID1709 3.0560460 0.2010428 15.201 < 2e-16 ***
ORIGIN_GRID_ID1710 3.8466009 0.2008645 19.150 < 2e-16 ***
ORIGIN_GRID_ID1711 4.5830995 0.2007806 22.826 < 2e-16 ***
ORIGIN_GRID_ID1712 4.3450683 0.2007736 21.642 < 2e-16 ***
ORIGIN_GRID_ID1713 1.5066297 0.2024799 7.441 1.00e-13 ***
ORIGIN_GRID_ID1714 4.2713398 0.2008660 21.265 < 2e-16 ***
ORIGIN_GRID_ID1726 -0.6569430 0.5387880 -1.219 0.222731
ORIGIN_GRID_ID1727 3.3447547 0.2009356 16.646 < 2e-16 ***
ORIGIN_GRID_ID1728 4.0460839 0.2007995 20.150 < 2e-16 ***
ORIGIN_GRID_ID1729 3.1188671 0.2009813 15.518 < 2e-16 ***
ORIGIN_GRID_ID1730 1.6069306 0.2030916 7.912 2.53e-15 ***
ORIGIN_GRID_ID1731 3.6251210 0.2008911 18.045 < 2e-16 ***
ORIGIN_GRID_ID1732 3.8440660 0.2008126 19.143 < 2e-16 ***
ORIGIN_GRID_ID1733 3.3796429 0.2008936 16.823 < 2e-16 ***
ORIGIN_GRID_ID1734 3.6796355 0.2008730 18.318 < 2e-16 ***
ORIGIN_GRID_ID1735 4.6349831 0.2011994 23.037 < 2e-16 ***
ORIGIN_GRID_ID1748 2.7259809 0.2011682 13.551 < 2e-16 ***
ORIGIN_GRID_ID1749 4.2347584 0.2007770 21.092 < 2e-16 ***
ORIGIN_GRID_ID1750 2.9360513 0.2009868 14.608 < 2e-16 ***
ORIGIN_GRID_ID1751 2.1306629 0.2018480 10.556 < 2e-16 ***
ORIGIN_GRID_ID1753 3.8850545 0.2008376 19.344 < 2e-16 ***
ORIGIN_GRID_ID1754 4.7073007 0.2007551 23.448 < 2e-16 ***
ORIGIN_GRID_ID1755 3.8123565 0.2008318 18.983 < 2e-16 ***
ORIGIN_GRID_ID1756 3.4461182 0.2009304 17.151 < 2e-16 ***
ORIGIN_GRID_ID1757 0.7231188 0.2107576 3.431 0.000601 ***
ORIGIN_GRID_ID1768 0.0443244 0.2481394 0.179 0.858231
ORIGIN_GRID_ID1769 3.0777310 0.2009567 15.315 < 2e-16 ***
ORIGIN_GRID_ID1770 3.8430927 0.2009709 19.123 < 2e-16 ***
ORIGIN_GRID_ID1771 2.5374772 0.2013711 12.601 < 2e-16 ***
ORIGIN_GRID_ID1772 2.9832123 0.2032795 14.675 < 2e-16 ***
ORIGIN_GRID_ID1774 3.6721977 0.2008530 18.283 < 2e-16 ***
ORIGIN_GRID_ID1775 3.1811675 0.2009551 15.830 < 2e-16 ***
ORIGIN_GRID_ID1776 4.8772915 0.2007543 24.295 < 2e-16 ***
ORIGIN_GRID_ID1777 3.7806118 0.2008992 18.818 < 2e-16 ***
ORIGIN_GRID_ID1778 3.4561441 0.2019965 17.110 < 2e-16 ***
ORIGIN_GRID_ID1790 4.2295534 0.2008095 21.063 < 2e-16 ***
ORIGIN_GRID_ID1791 3.9214925 0.2008447 19.525 < 2e-16 ***
ORIGIN_GRID_ID1792 3.3296899 0.2010910 16.558 < 2e-16 ***
ORIGIN_GRID_ID1793 2.8036505 0.2012711 13.930 < 2e-16 ***
ORIGIN_GRID_ID1794 2.2785890 0.2099187 10.855 < 2e-16 ***
ORIGIN_GRID_ID1795 0.4576029 0.2100749 2.178 0.029385 *
ORIGIN_GRID_ID1796 3.8679067 0.2008627 19.256 < 2e-16 ***
ORIGIN_GRID_ID1797 3.8666685 0.2008318 19.253 < 2e-16 ***
ORIGIN_GRID_ID1798 3.7079350 0.2008538 18.461 < 2e-16 ***
ORIGIN_GRID_ID1799 2.7686838 0.2013582 13.750 < 2e-16 ***
ORIGIN_GRID_ID1800 2.0413454 0.2052961 9.943 < 2e-16 ***
ORIGIN_GRID_ID1811 3.3544857 0.2009318 16.695 < 2e-16 ***
ORIGIN_GRID_ID1812 4.3779276 0.2007697 21.806 < 2e-16 ***
ORIGIN_GRID_ID1813 3.7851380 0.2008449 18.846 < 2e-16 ***
ORIGIN_GRID_ID1817 3.4945463 0.2010006 17.386 < 2e-16 ***
ORIGIN_GRID_ID1818 3.6330592 0.2008688 18.087 < 2e-16 ***
ORIGIN_GRID_ID1819 4.8010821 0.2007696 23.913 < 2e-16 ***
ORIGIN_GRID_ID1820 1.5077218 0.2062749 7.309 2.69e-13 ***
ORIGIN_GRID_ID1832 4.6733740 0.2007766 23.276 < 2e-16 ***
ORIGIN_GRID_ID1833 3.1858822 0.2009525 15.854 < 2e-16 ***
ORIGIN_GRID_ID1834 3.2218803 0.2009392 16.034 < 2e-16 ***
ORIGIN_GRID_ID1835 2.5183339 0.2013843 12.505 < 2e-16 ***
ORIGIN_GRID_ID1837 1.6975337 0.2256845 7.522 5.41e-14 ***
ORIGIN_GRID_ID1839 3.3247857 0.2010756 16.535 < 2e-16 ***
ORIGIN_GRID_ID1840 4.7457138 0.2007681 23.638 < 2e-16 ***
ORIGIN_GRID_ID1841 2.3699331 0.2025077 11.703 < 2e-16 ***
ORIGIN_GRID_ID1842 4.9885598 0.2014634 24.762 < 2e-16 ***
ORIGIN_GRID_ID1853 3.3355334 0.2009039 16.603 < 2e-16 ***
ORIGIN_GRID_ID1854 3.7040418 0.2008620 18.441 < 2e-16 ***
ORIGIN_GRID_ID1855 3.8477084 0.2008691 19.155 < 2e-16 ***
ORIGIN_GRID_ID1858 2.3912205 0.2045772 11.689 < 2e-16 ***
ORIGIN_GRID_ID1860 4.1710154 0.2014313 20.707 < 2e-16 ***
ORIGIN_GRID_ID1861 3.7094859 0.2009132 18.463 < 2e-16 ***
ORIGIN_GRID_ID1874 3.5628064 0.2009820 17.727 < 2e-16 ***
ORIGIN_GRID_ID1875 1.8167560 0.2022961 8.981 < 2e-16 ***
ORIGIN_GRID_ID1876 3.8839130 0.2019106 19.236 < 2e-16 ***
ORIGIN_GRID_ID1877 3.5250726 0.2009214 17.545 < 2e-16 ***
ORIGIN_GRID_ID1880 1.3931614 0.2131057 6.537 6.26e-11 ***
ORIGIN_GRID_ID1882 3.8163038 0.2009126 18.995 < 2e-16 ***
ORIGIN_GRID_ID1883 3.5960624 0.2016973 17.829 < 2e-16 ***
ORIGIN_GRID_ID1895 3.6128864 0.2008891 17.984 < 2e-16 ***
ORIGIN_GRID_ID1896 2.9748138 0.2010359 14.797 < 2e-16 ***
ORIGIN_GRID_ID1897 2.9850714 0.2011864 14.837 < 2e-16 ***
ORIGIN_GRID_ID1898 -0.1767243 0.2261911 -0.781 0.434623
ORIGIN_GRID_ID1901 1.0123262 0.2209861 4.581 4.63e-06 ***
ORIGIN_GRID_ID1903 3.1217349 0.2016058 15.484 < 2e-16 ***
ORIGIN_GRID_ID1916 0.6673301 0.2129375 3.134 0.001725 **
ORIGIN_GRID_ID1917 2.8254592 0.2011420 14.047 < 2e-16 ***
ORIGIN_GRID_ID1918 3.6355490 0.2009733 18.090 < 2e-16 ***
ORIGIN_GRID_ID1919 3.5959734 0.2009171 17.898 < 2e-16 ***
ORIGIN_GRID_ID1922 1.9368749 0.2077124 9.325 < 2e-16 ***
ORIGIN_GRID_ID1924 3.3527583 0.2015597 16.634 < 2e-16 ***
ORIGIN_GRID_ID1937 3.2561108 0.2010358 16.197 < 2e-16 ***
ORIGIN_GRID_ID1938 3.7211108 0.2008424 18.528 < 2e-16 ***
ORIGIN_GRID_ID1939 3.8735526 0.2008806 19.283 < 2e-16 ***
ORIGIN_GRID_ID1942 1.4682326 0.2097621 7.000 2.57e-12 ***
ORIGIN_GRID_ID1958 0.1878534 0.2806382 0.669 0.503254
ORIGIN_GRID_ID1959 2.9120699 0.2011879 14.474 < 2e-16 ***
ORIGIN_GRID_ID1960 5.3628743 0.2007307 26.717 < 2e-16 ***
ORIGIN_GRID_ID1961 2.9094895 0.2011668 14.463 < 2e-16 ***
ORIGIN_GRID_ID1962 3.7292067 0.2009042 18.562 < 2e-16 ***
ORIGIN_GRID_ID1964 1.6754938 0.2108044 7.948 1.89e-15 ***
ORIGIN_GRID_ID1979 3.0149082 0.2011976 14.985 < 2e-16 ***
ORIGIN_GRID_ID1980 1.1184235 0.2026267 5.520 3.40e-08 ***
ORIGIN_GRID_ID1981 3.3443282 0.2008993 16.647 < 2e-16 ***
ORIGIN_GRID_ID1982 2.9065176 0.2016202 14.416 < 2e-16 ***
ORIGIN_GRID_ID1983 3.7588633 0.2008919 18.711 < 2e-16 ***
ORIGIN_GRID_ID1984 2.6144553 0.2013322 12.986 < 2e-16 ***
ORIGIN_GRID_ID1985 2.9439773 0.2012087 14.631 < 2e-16 ***
ORIGIN_GRID_ID2001 3.3587122 0.2009671 16.713 < 2e-16 ***
ORIGIN_GRID_ID2002 3.7247261 0.2008201 18.548 < 2e-16 ***
ORIGIN_GRID_ID2003 3.6568933 0.2008741 18.205 < 2e-16 ***
ORIGIN_GRID_ID2004 4.3433066 0.2008086 21.629 < 2e-16 ***
ORIGIN_GRID_ID2005 3.6774164 0.2008887 18.306 < 2e-16 ***
ORIGIN_GRID_ID2006 3.1341472 0.2011034 15.585 < 2e-16 ***
ORIGIN_GRID_ID2007 1.5946024 0.2042252 7.808 5.81e-15 ***
ORIGIN_GRID_ID2022 3.8341712 0.2009519 19.080 < 2e-16 ***
ORIGIN_GRID_ID2023 4.0291307 0.2008121 20.064 < 2e-16 ***
ORIGIN_GRID_ID2024 3.5988228 0.2008570 17.917 < 2e-16 ***
ORIGIN_GRID_ID2025 3.1817962 0.2009150 15.837 < 2e-16 ***
ORIGIN_GRID_ID2026 1.8756393 0.2020468 9.283 < 2e-16 ***
ORIGIN_GRID_ID2027 4.1289082 0.2008442 20.558 < 2e-16 ***
ORIGIN_GRID_ID2043 3.0413238 0.2011862 15.117 < 2e-16 ***
ORIGIN_GRID_ID2044 3.5181182 0.2008816 17.513 < 2e-16 ***
ORIGIN_GRID_ID2045 0.9562023 0.2164102 4.418 9.94e-06 ***
ORIGIN_GRID_ID2046 4.0627825 0.2007823 20.235 < 2e-16 ***
ORIGIN_GRID_ID2047 3.1237109 0.2009877 15.542 < 2e-16 ***
ORIGIN_GRID_ID2048 3.4241422 0.2009182 17.042 < 2e-16 ***
ORIGIN_GRID_ID2049 2.4867030 0.2026341 12.272 < 2e-16 ***
ORIGIN_GRID_ID2064 3.5552678 0.2009404 17.693 < 2e-16 ***
ORIGIN_GRID_ID2065 2.6649227 0.2011723 13.247 < 2e-16 ***
ORIGIN_GRID_ID2066 2.0176336 0.2034531 9.917 < 2e-16 ***
ORIGIN_GRID_ID2067 5.2990984 0.2007340 26.399 < 2e-16 ***
ORIGIN_GRID_ID2068 2.9619227 0.2012397 14.718 < 2e-16 ***
ORIGIN_GRID_ID2069 3.5411098 0.2009494 17.622 < 2e-16 ***
ORIGIN_GRID_ID2085 2.6244940 0.2014585 13.027 < 2e-16 ***
ORIGIN_GRID_ID2086 3.8989280 0.2008638 19.411 < 2e-16 ***
ORIGIN_GRID_ID2087 3.0822512 0.2010344 15.332 < 2e-16 ***
ORIGIN_GRID_ID2088 3.4851387 0.2008459 17.352 < 2e-16 ***
ORIGIN_GRID_ID2089 2.8496965 0.2011022 14.170 < 2e-16 ***
ORIGIN_GRID_ID2090 4.8074080 0.2007638 23.946 < 2e-16 ***
ORIGIN_GRID_ID2091 1.2572791 0.2095851 5.999 1.99e-09 ***
ORIGIN_GRID_ID2105 2.0532348 0.2149567 9.552 < 2e-16 ***
ORIGIN_GRID_ID2106 1.4486931 0.2028962 7.140 9.33e-13 ***
ORIGIN_GRID_ID2107 2.5741660 0.2012336 12.792 < 2e-16 ***
ORIGIN_GRID_ID2108 3.7826655 0.2008847 18.830 < 2e-16 ***
ORIGIN_GRID_ID2109 3.2275190 0.2008957 16.066 < 2e-16 ***
ORIGIN_GRID_ID2110 2.5081715 0.2012952 12.460 < 2e-16 ***
ORIGIN_GRID_ID2111 -0.3308154 0.2240509 -1.477 0.139805
ORIGIN_GRID_ID2128 2.5068269 0.2018294 12.421 < 2e-16 ***
ORIGIN_GRID_ID2129 2.1300346 0.2016899 10.561 < 2e-16 ***
ORIGIN_GRID_ID2130 3.9699520 0.2008080 19.770 < 2e-16 ***
ORIGIN_GRID_ID2131 4.0476204 0.2008791 20.150 < 2e-16 ***
ORIGIN_GRID_ID2132 3.4344918 0.2009342 17.093 < 2e-16 ***
ORIGIN_GRID_ID2148 3.4204328 0.2013999 16.983 < 2e-16 ***
ORIGIN_GRID_ID2149 1.1142464 0.2038936 5.465 4.63e-08 ***
ORIGIN_GRID_ID2150 3.7269365 0.2009039 18.551 < 2e-16 ***
ORIGIN_GRID_ID2151 4.1214257 0.2007990 20.525 < 2e-16 ***
ORIGIN_GRID_ID2152 4.2714125 0.2008104 21.271 < 2e-16 ***
ORIGIN_GRID_ID2153 3.5992673 0.2010184 17.905 < 2e-16 ***
ORIGIN_GRID_ID2171 3.1028440 0.2011142 15.428 < 2e-16 ***
ORIGIN_GRID_ID2172 2.7322703 0.2013004 13.573 < 2e-16 ***
ORIGIN_GRID_ID2173 3.0698021 0.2009868 15.274 < 2e-16 ***
ORIGIN_GRID_ID2174 3.5023974 0.2009853 17.426 < 2e-16 ***
ORIGIN_GRID_ID2191 2.6856302 0.2018127 13.308 < 2e-16 ***
ORIGIN_GRID_ID2192 2.3470197 0.2017481 11.633 < 2e-16 ***
ORIGIN_GRID_ID2193 3.0459362 0.2011228 15.145 < 2e-16 ***
ORIGIN_GRID_ID2194 3.6515977 0.2009029 18.176 < 2e-16 ***
ORIGIN_GRID_ID2195 2.3512040 0.2050183 11.468 < 2e-16 ***
ORIGIN_GRID_ID2212 1.5855735 0.2128451 7.449 9.37e-14 ***
ORIGIN_GRID_ID2213 0.8803115 0.2094200 4.204 2.63e-05 ***
ORIGIN_GRID_ID2214 2.3055694 0.2035519 11.327 < 2e-16 ***
ORIGIN_GRID_ID2215 3.3426414 0.2011378 16.619 < 2e-16 ***
ORIGIN_GRID_ID2216 2.2886508 0.2019623 11.332 < 2e-16 ***
ORIGIN_GRID_ID2233 2.0916574 0.2055519 10.176 < 2e-16 ***
ORIGIN_GRID_ID2234 2.7040787 0.2050464 13.188 < 2e-16 ***
ORIGIN_GRID_ID2235 2.6210064 0.2022713 12.958 < 2e-16 ***
ORIGIN_GRID_ID2236 1.4214436 0.2042524 6.959 3.42e-12 ***
ORIGIN_GRID_ID2237 1.4918597 0.2114051 7.057 1.70e-12 ***
ORIGIN_GRID_ID2256 1.5686811 0.2091454 7.500 6.36e-14 ***
ORIGIN_GRID_ID2257 2.0061957 0.2040744 9.831 < 2e-16 ***
ORIGIN_GRID_ID2258 2.0587133 0.2026095 10.161 < 2e-16 ***
ORIGIN_GRID_ID2259 2.2713673 0.2089668 10.870 < 2e-16 ***
ORIGIN_GRID_ID2277 1.7191439 0.2126426 8.085 6.23e-16 ***
ORIGIN_GRID_ID2278 2.0330868 0.2050190 9.917 < 2e-16 ***
ORIGIN_GRID_ID2279 1.8503551 0.2037311 9.082 < 2e-16 ***
ORIGIN_GRID_ID2280 0.6566737 0.2164600 3.034 0.002416 **
ORIGIN_GRID_ID2297 3.5892166 0.2014808 17.814 < 2e-16 ***
ORIGIN_GRID_ID2300 -0.2440043 0.2532008 -0.964 0.335207
ORIGIN_GRID_ID2301 1.4966933 0.2040365 7.335 2.21e-13 ***
ORIGIN_GRID_ID2318 0.9892556 0.2067646 4.784 1.71e-06 ***
ORIGIN_GRID_ID2319 3.0455608 0.2011713 15.139 < 2e-16 ***
ORIGIN_GRID_ID2322 4.5621833 0.2010349 22.693 < 2e-16 ***
ORIGIN_GRID_ID2337 5.6376635 0.2015086 27.977 < 2e-16 ***
ORIGIN_GRID_ID2341 3.8975774 0.2010162 19.389 < 2e-16 ***
ORIGIN_GRID_ID2343 2.9354763 0.2016393 14.558 < 2e-16 ***
ORIGIN_GRID_ID2361 2.9335324 0.2015353 14.556 < 2e-16 ***
ORIGIN_GRID_ID2364 1.9587020 0.2063822 9.491 < 2e-16 ***
ORIGIN_GRID_ID2379 0.1374400 0.2176879 0.631 0.527803
ORIGIN_GRID_ID2384 3.4489947 0.2020461 17.070 < 2e-16 ***
ORIGIN_GRID_ID2405 3.2946078 0.2021300 16.299 < 2e-16 ***
ORIGIN_GRID_ID2406 2.2433174 0.2062777 10.875 < 2e-16 ***
ORIGIN_GRID_ID2426 3.2649450 0.2064467 15.815 < 2e-16 ***
ORIGIN_GRID_ID2427 3.1740594 0.2027328 15.656 < 2e-16 ***
ORIGIN_GRID_ID2505 2.4800346 0.2118422 11.707 < 2e-16 ***
DESTIN_GRID_ID46 0.2438733 0.2285578 1.067 0.285967
DESTIN_GRID_ID66 0.7706687 0.5454952 1.413 0.157718
DESTIN_GRID_ID67 -0.6769795 0.2272732 -2.979 0.002895 **
DESTIN_GRID_ID68 0.0680588 0.2246405 0.303 0.761914
DESTIN_GRID_ID86 1.3050509 0.2618172 4.985 6.21e-07 ***
DESTIN_GRID_ID88 0.2700569 0.2212707 1.220 0.222282
DESTIN_GRID_ID89 2.3798446 0.2385237 9.977 < 2e-16 ***
DESTIN_GRID_ID90 -1.5908739 0.7395661 -2.151 0.031469 *
DESTIN_GRID_ID109 0.6812845 0.2891004 2.357 0.018445 *
DESTIN_GRID_ID110 -4.2791152 0.4623142 -9.256 < 2e-16 ***
DESTIN_GRID_ID111 4.1969536 0.2171483 19.328 < 2e-16 ***
DESTIN_GRID_ID112 -3.3896538 0.3444822 -9.840 < 2e-16 ***
DESTIN_GRID_ID128 4.0407838 0.2185168 18.492 < 2e-16 ***
DESTIN_GRID_ID129 1.0895516 0.4156864 2.621 0.008765 **
DESTIN_GRID_ID130 2.2342447 0.2534182 8.816 < 2e-16 ***
DESTIN_GRID_ID131 -2.0793278 0.2363802 -8.797 < 2e-16 ***
DESTIN_GRID_ID132 0.2417431 0.2307513 1.048 0.294807
DESTIN_GRID_ID133 -0.9949438 0.2411961 -4.125 3.71e-05 ***
DESTIN_GRID_ID134 3.1630099 0.2172791 14.557 < 2e-16 ***
DESTIN_GRID_ID150 -0.7568802 0.2284869 -3.313 0.000924 ***
DESTIN_GRID_ID151 -1.1484756 0.2643738 -4.344 1.40e-05 ***
DESTIN_GRID_ID152 1.0714717 0.2559803 4.186 2.84e-05 ***
DESTIN_GRID_ID153 0.9512831 0.2335408 4.073 4.64e-05 ***
DESTIN_GRID_ID154 0.2644779 0.2308161 1.146 0.251862
DESTIN_GRID_ID155 1.3528640 0.2197760 6.156 7.48e-10 ***
DESTIN_GRID_ID156 -0.3115967 0.2413473 -1.291 0.196679
DESTIN_GRID_ID172 0.7450084 0.2898193 2.571 0.010152 *
DESTIN_GRID_ID174 -0.3465994 0.2619440 -1.323 0.185775
DESTIN_GRID_ID175 2.9851926 0.2173555 13.734 < 2e-16 ***
DESTIN_GRID_ID176 -0.0623081 0.2301225 -0.271 0.786575
DESTIN_GRID_ID195 -0.9300888 0.3325967 -2.796 0.005167 **
DESTIN_GRID_ID196 -0.1798200 0.2346268 -0.766 0.443433
DESTIN_GRID_ID197 -1.3183392 0.2687438 -4.906 9.32e-07 ***
DESTIN_GRID_ID215 0.3412017 0.2598125 1.313 0.189095
DESTIN_GRID_ID216 2.7411731 0.2184668 12.547 < 2e-16 ***
DESTIN_GRID_ID217 1.5494752 0.2226025 6.961 3.39e-12 ***
DESTIN_GRID_ID237 -1.5848506 0.3455388 -4.587 4.51e-06 ***
DESTIN_GRID_ID238 0.1711325 0.2432690 0.703 0.481763
DESTIN_GRID_ID239 1.7096667 0.2299606 7.435 1.05e-13 ***
DESTIN_GRID_ID257 -0.7151842 0.2303388 -3.105 0.001903 **
DESTIN_GRID_ID258 -0.5863253 0.2462823 -2.381 0.017280 *
DESTIN_GRID_ID259 -0.0838364 0.2452925 -0.342 0.732515
DESTIN_GRID_ID278 0.0073195 0.2317945 0.032 0.974809
DESTIN_GRID_ID279 0.5084409 0.2322601 2.189 0.028589 *
DESTIN_GRID_ID280 1.0596248 0.2267639 4.673 2.97e-06 ***
DESTIN_GRID_ID299 -0.1173901 0.2497872 -0.470 0.638383
DESTIN_GRID_ID300 2.0371047 0.2199756 9.261 < 2e-16 ***
DESTIN_GRID_ID320 -0.0343459 0.2389705 -0.144 0.885718
DESTIN_GRID_ID321 -0.1583753 0.3012021 -0.526 0.599020
DESTIN_GRID_ID322 0.2304646 0.2308460 0.998 0.318111
DESTIN_GRID_ID340 1.3988655 0.2249520 6.219 5.02e-10 ***
DESTIN_GRID_ID341 -1.1111649 0.2397532 -4.635 3.58e-06 ***
DESTIN_GRID_ID342 0.8479377 0.2273125 3.730 0.000191 ***
DESTIN_GRID_ID363 0.7032793 0.2316257 3.036 0.002395 **
DESTIN_GRID_ID364 0.0869174 0.2294909 0.379 0.704881
DESTIN_GRID_ID383 0.0535321 0.2255339 0.237 0.812380
DESTIN_GRID_ID384 0.4416623 0.2256883 1.957 0.050353 .
DESTIN_GRID_ID385 -1.9420899 0.3206166 -6.057 1.38e-09 ***
DESTIN_GRID_ID404 1.7261321 0.2342591 7.368 1.73e-13 ***
DESTIN_GRID_ID405 -0.8190955 0.2428971 -3.372 0.000746 ***
DESTIN_GRID_ID406 3.5792823 0.2172992 16.472 < 2e-16 ***
DESTIN_GRID_ID407 2.0576442 0.2192328 9.386 < 2e-16 ***
DESTIN_GRID_ID408 3.1810736 0.2178195 14.604 < 2e-16 ***
DESTIN_GRID_ID425 -1.1192642 0.2649527 -4.224 2.40e-05 ***
DESTIN_GRID_ID426 -0.6063897 0.2429016 -2.496 0.012545 *
DESTIN_GRID_ID427 0.6126315 0.2200248 2.784 0.005363 **
DESTIN_GRID_ID428 1.2362361 0.2196384 5.629 1.82e-08 ***
DESTIN_GRID_ID429 1.8733907 0.2203185 8.503 < 2e-16 ***
DESTIN_GRID_ID446 0.7194209 0.2480577 2.900 0.003729 **
DESTIN_GRID_ID447 -1.2312938 0.2646407 -4.653 3.28e-06 ***
DESTIN_GRID_ID448 -1.1982477 0.2440055 -4.911 9.07e-07 ***
DESTIN_GRID_ID449 2.3304738 0.2178110 10.700 < 2e-16 ***
DESTIN_GRID_ID450 1.6168149 0.2185701 7.397 1.39e-13 ***
DESTIN_GRID_ID468 0.8715051 0.2272907 3.834 0.000126 ***
DESTIN_GRID_ID469 0.1609087 0.2222379 0.724 0.469042
DESTIN_GRID_ID470 3.1637737 0.2174458 14.550 < 2e-16 ***
DESTIN_GRID_ID471 2.2984972 0.2188689 10.502 < 2e-16 ***
DESTIN_GRID_ID488 0.3976823 0.2470667 1.610 0.107482
DESTIN_GRID_ID489 -1.4673620 0.3613031 -4.061 4.88e-05 ***
DESTIN_GRID_ID490 1.4229232 0.2195610 6.481 9.13e-11 ***
DESTIN_GRID_ID491 1.5871696 0.2180004 7.281 3.32e-13 ***
DESTIN_GRID_ID493 -2.3351585 0.4149889 -5.627 1.83e-08 ***
DESTIN_GRID_ID494 1.3398258 0.2233382 5.999 1.98e-09 ***
DESTIN_GRID_ID509 0.3288637 0.2318866 1.418 0.156130
DESTIN_GRID_ID510 0.0871082 0.2306324 0.378 0.705659
DESTIN_GRID_ID511 1.1845538 0.2183654 5.425 5.81e-08 ***
DESTIN_GRID_ID512 3.2299071 0.2173710 14.859 < 2e-16 ***
DESTIN_GRID_ID513 -0.1585197 0.2271043 -0.698 0.485175
DESTIN_GRID_ID514 0.0690165 0.2364510 0.292 0.770374
DESTIN_GRID_ID515 -0.3638373 0.2618852 -1.389 0.164741
DESTIN_GRID_ID530 0.1136228 0.2618118 0.434 0.664298
DESTIN_GRID_ID531 1.1118180 0.2233578 4.978 6.43e-07 ***
DESTIN_GRID_ID532 0.2170068 0.2223341 0.976 0.329045
DESTIN_GRID_ID533 3.5703627 0.2173177 16.429 < 2e-16 ***
DESTIN_GRID_ID534 3.3705080 0.2173879 15.505 < 2e-16 ***
DESTIN_GRID_ID536 0.9775150 0.2226551 4.390 1.13e-05 ***
DESTIN_GRID_ID537 -0.8588885 0.2955263 -2.906 0.003657 **
DESTIN_GRID_ID538 -0.8905211 0.3160121 -2.818 0.004832 **
DESTIN_GRID_ID539 0.6299914 0.7523867 0.837 0.402410
DESTIN_GRID_ID551 -0.5162681 0.2755406 -1.874 0.060978 .
DESTIN_GRID_ID552 -0.4691417 0.2527316 -1.856 0.063413 .
DESTIN_GRID_ID553 -0.0213807 0.2204407 -0.097 0.922734
DESTIN_GRID_ID554 2.6349416 0.2174126 12.120 < 2e-16 ***
DESTIN_GRID_ID555 2.0466343 0.2182677 9.377 < 2e-16 ***
DESTIN_GRID_ID559 0.8958023 0.2351120 3.810 0.000139 ***
DESTIN_GRID_ID560 -0.8908606 0.3836913 -2.322 0.020243 *
DESTIN_GRID_ID561 -0.8109998 0.4359816 -1.860 0.062862 .
DESTIN_GRID_ID572 -3.0201657 0.7397619 -4.083 4.45e-05 ***
DESTIN_GRID_ID573 0.9596131 0.2246083 4.272 1.93e-05 ***
DESTIN_GRID_ID574 0.4942419 0.2243695 2.203 0.027609 *
DESTIN_GRID_ID575 5.0845354 0.2172696 23.402 < 2e-16 ***
DESTIN_GRID_ID576 2.4437204 0.2175143 11.235 < 2e-16 ***
DESTIN_GRID_ID578 -0.9061555 0.2801460 -3.235 0.001218 **
DESTIN_GRID_ID582 -0.5005564 0.2981355 -1.679 0.093161 .
DESTIN_GRID_ID583 0.7630701 0.2625942 2.906 0.003662 **
DESTIN_GRID_ID584 1.1542300 0.2460716 4.691 2.72e-06 ***
DESTIN_GRID_ID593 -0.8050249 0.2981348 -2.700 0.006930 **
DESTIN_GRID_ID594 0.3975065 0.2281134 1.743 0.081406 .
DESTIN_GRID_ID595 -0.3797327 0.2226353 -1.706 0.088078 .
DESTIN_GRID_ID596 2.3580762 0.2174357 10.845 < 2e-16 ***
DESTIN_GRID_ID597 -1.1618949 0.2511681 -4.626 3.73e-06 ***
DESTIN_GRID_ID603 -0.6568185 0.3258143 -2.016 0.043807 *
DESTIN_GRID_ID604 0.2038201 0.2858348 0.713 0.475803
DESTIN_GRID_ID615 -0.8692631 0.2447222 -3.552 0.000382 ***
DESTIN_GRID_ID616 0.4022616 0.2226208 1.807 0.070772 .
DESTIN_GRID_ID617 0.0477044 0.2197198 0.217 0.828119
DESTIN_GRID_ID618 3.0557382 0.2173890 14.057 < 2e-16 ***
DESTIN_GRID_ID620 -0.5695204 0.2306693 -2.469 0.013549 *
DESTIN_GRID_ID637 -0.4960368 0.2271847 -2.183 0.029006 *
DESTIN_GRID_ID638 2.8960355 0.2173899 13.322 < 2e-16 ***
DESTIN_GRID_ID657 0.1085921 0.2249388 0.483 0.629264
DESTIN_GRID_ID658 1.6895849 0.2179645 7.752 9.07e-15 ***
DESTIN_GRID_ID659 2.3173864 0.2175470 10.652 < 2e-16 ***
DESTIN_GRID_ID660 3.6189265 0.2173338 16.651 < 2e-16 ***
DESTIN_GRID_ID662 3.5598409 0.2177019 16.352 < 2e-16 ***
DESTIN_GRID_ID677 0.5298614 0.2299004 2.305 0.021181 *
DESTIN_GRID_ID678 -0.7897431 0.2309704 -3.419 0.000628 ***
DESTIN_GRID_ID679 3.2512543 0.2174037 14.955 < 2e-16 ***
DESTIN_GRID_ID680 3.9448367 0.2173188 18.152 < 2e-16 ***
DESTIN_GRID_ID681 1.7804628 0.2182177 8.159 3.37e-16 ***
DESTIN_GRID_ID699 0.7408486 0.2219554 3.338 0.000844 ***
DESTIN_GRID_ID700 2.8231210 0.2175103 12.979 < 2e-16 ***
DESTIN_GRID_ID701 1.6302903 0.2179926 7.479 7.51e-14 ***
DESTIN_GRID_ID702 3.3268943 0.2173591 15.306 < 2e-16 ***
DESTIN_GRID_ID704 -0.4705553 0.2271315 -2.072 0.038291 *
DESTIN_GRID_ID722 1.0531019 0.2186243 4.817 1.46e-06 ***
DESTIN_GRID_ID725 -0.1797412 0.2246756 -0.800 0.423709
DESTIN_GRID_ID730 1.0951954 0.2400235 4.563 5.05e-06 ***
DESTIN_GRID_ID741 1.9558646 0.2185262 8.950 < 2e-16 ***
DESTIN_GRID_ID743 0.8963818 0.2186554 4.100 4.14e-05 ***
DESTIN_GRID_ID744 2.8475487 0.2174297 13.096 < 2e-16 ***
DESTIN_GRID_ID752 1.7386914 0.2239719 7.763 8.30e-15 ***
DESTIN_GRID_ID761 0.6956337 0.2260001 3.078 0.002084 **
DESTIN_GRID_ID762 2.1951622 0.2180141 10.069 < 2e-16 ***
DESTIN_GRID_ID763 0.6380337 0.2193408 2.909 0.003627 **
DESTIN_GRID_ID764 3.5799463 0.2173394 16.472 < 2e-16 ***
DESTIN_GRID_ID765 1.2448047 0.2187929 5.689 1.27e-08 ***
DESTIN_GRID_ID767 3.1825108 0.2174770 14.634 < 2e-16 ***
DESTIN_GRID_ID772 1.9494251 0.2205344 8.840 < 2e-16 ***
DESTIN_GRID_ID784 0.1828118 0.2213582 0.826 0.408881
DESTIN_GRID_ID785 2.5019553 0.2174548 11.506 < 2e-16 ***
DESTIN_GRID_ID786 1.7927763 0.2176622 8.237 < 2e-16 ***
DESTIN_GRID_ID787 1.8751652 0.2181912 8.594 < 2e-16 ***
DESTIN_GRID_ID788 2.4167244 0.2176687 11.103 < 2e-16 ***
DESTIN_GRID_ID789 1.0461895 0.2187018 4.784 1.72e-06 ***
DESTIN_GRID_ID803 -1.0411142 0.2578053 -4.038 5.38e-05 ***
DESTIN_GRID_ID804 3.2742124 0.2174738 15.056 < 2e-16 ***
DESTIN_GRID_ID805 4.2159499 0.2173097 19.401 < 2e-16 ***
DESTIN_GRID_ID806 2.4937744 0.2174693 11.467 < 2e-16 ***
DESTIN_GRID_ID807 3.2510065 0.2174591 14.950 < 2e-16 ***
DESTIN_GRID_ID808 0.8788472 0.2200356 3.994 6.49e-05 ***
DESTIN_GRID_ID809 3.0383319 0.2173949 13.976 < 2e-16 ***
DESTIN_GRID_ID810 2.3489020 0.2176293 10.793 < 2e-16 ***
DESTIN_GRID_ID814 2.0844059 0.2199147 9.478 < 2e-16 ***
DESTIN_GRID_ID819 5.0583958 0.2204474 22.946 < 2e-16 ***
DESTIN_GRID_ID824 0.0472776 0.2333263 0.203 0.839428
DESTIN_GRID_ID826 0.7964363 0.2185847 3.644 0.000269 ***
DESTIN_GRID_ID827 2.8304509 0.2174328 13.018 < 2e-16 ***
DESTIN_GRID_ID828 2.8430184 0.2174027 13.077 < 2e-16 ***
DESTIN_GRID_ID829 2.6334023 0.2175327 12.106 < 2e-16 ***
DESTIN_GRID_ID830 2.1525267 0.2177042 9.887 < 2e-16 ***
DESTIN_GRID_ID831 4.4528031 0.2173126 20.490 < 2e-16 ***
DESTIN_GRID_ID832 3.7626894 0.2174193 17.306 < 2e-16 ***
DESTIN_GRID_ID835 -0.5846752 0.2494312 -2.344 0.019076 *
DESTIN_GRID_ID844 -1.0029523 0.3011593 -3.330 0.000868 ***
DESTIN_GRID_ID846 2.5820649 0.2175518 11.869 < 2e-16 ***
DESTIN_GRID_ID847 3.3785692 0.2173941 15.541 < 2e-16 ***
DESTIN_GRID_ID848 2.4072051 0.2174935 11.068 < 2e-16 ***
DESTIN_GRID_ID849 1.5490457 0.2177994 7.112 1.14e-12 ***
DESTIN_GRID_ID850 2.6279964 0.2174738 12.084 < 2e-16 ***
DESTIN_GRID_ID851 2.6638235 0.2174344 12.251 < 2e-16 ***
DESTIN_GRID_ID852 2.1326106 0.2176627 9.798 < 2e-16 ***
DESTIN_GRID_ID853 4.1361050 0.2174545 19.021 < 2e-16 ***
DESTIN_GRID_ID854 -0.0325512 0.2394403 -0.136 0.891863
DESTIN_GRID_ID855 -0.9645166 0.2517668 -3.831 0.000128 ***
DESTIN_GRID_ID856 0.9489890 0.2229329 4.257 2.07e-05 ***
DESTIN_GRID_ID866 1.1586894 0.2223277 5.212 1.87e-07 ***
DESTIN_GRID_ID867 1.3399431 0.2186516 6.128 8.89e-10 ***
DESTIN_GRID_ID868 1.9385865 0.2180585 8.890 < 2e-16 ***
DESTIN_GRID_ID869 2.6861239 0.2179107 12.327 < 2e-16 ***
DESTIN_GRID_ID870 3.9976004 0.2173143 18.395 < 2e-16 ***
DESTIN_GRID_ID871 3.7499434 0.2174285 17.247 < 2e-16 ***
DESTIN_GRID_ID872 0.7267596 0.2186650 3.324 0.000889 ***
DESTIN_GRID_ID873 2.0568080 0.2178585 9.441 < 2e-16 ***
DESTIN_GRID_ID874 0.9912741 0.2183613 4.540 5.64e-06 ***
DESTIN_GRID_ID875 -0.9846836 0.2712357 -3.630 0.000283 ***
DESTIN_GRID_ID876 -0.6749269 0.2394412 -2.819 0.004821 **
DESTIN_GRID_ID877 1.4516819 0.2201541 6.594 4.28e-11 ***
DESTIN_GRID_ID887 1.5035143 0.2184473 6.883 5.87e-12 ***
DESTIN_GRID_ID888 1.9039133 0.2178619 8.739 < 2e-16 ***
DESTIN_GRID_ID889 -0.3056271 0.2272956 -1.345 0.178747
DESTIN_GRID_ID890 3.0753988 0.2174044 14.146 < 2e-16 ***
DESTIN_GRID_ID891 1.8029251 0.2184013 8.255 < 2e-16 ***
DESTIN_GRID_ID893 2.9726092 0.2173928 13.674 < 2e-16 ***
DESTIN_GRID_ID894 0.6195991 0.2189973 2.829 0.004666 **
DESTIN_GRID_ID895 0.8697051 0.2197638 3.957 7.58e-05 ***
DESTIN_GRID_ID896 -0.3839193 0.2284672 -1.680 0.092877 .
DESTIN_GRID_ID897 0.6269601 0.2204901 2.843 0.004462 **
DESTIN_GRID_ID898 0.5189856 0.2257596 2.299 0.021514 *
DESTIN_GRID_ID908 2.0402700 0.2196539 9.289 < 2e-16 ***
DESTIN_GRID_ID909 2.1380362 0.2175892 9.826 < 2e-16 ***
DESTIN_GRID_ID910 -0.6531461 0.2248904 -2.904 0.003681 **
DESTIN_GRID_ID911 2.0659358 0.2177675 9.487 < 2e-16 ***
DESTIN_GRID_ID912 2.8012474 0.2174484 12.882 < 2e-16 ***
DESTIN_GRID_ID915 2.5763363 0.2174616 11.847 < 2e-16 ***
DESTIN_GRID_ID917 2.6267736 0.2177907 12.061 < 2e-16 ***
DESTIN_GRID_ID918 -1.4738428 0.2457437 -5.997 2.00e-09 ***
DESTIN_GRID_ID919 0.7124914 0.2195190 3.246 0.001172 **
DESTIN_GRID_ID928 1.9630303 0.2182036 8.996 < 2e-16 ***
DESTIN_GRID_ID929 2.6323935 0.2174760 12.104 < 2e-16 ***
DESTIN_GRID_ID930 3.5826695 0.2173426 16.484 < 2e-16 ***
DESTIN_GRID_ID931 0.0566198 0.2224152 0.255 0.799057
DESTIN_GRID_ID932 0.5614397 0.2212383 2.538 0.011158 *
DESTIN_GRID_ID933 2.3783739 0.2176925 10.925 < 2e-16 ***
DESTIN_GRID_ID934 -0.3782699 0.2232203 -1.695 0.090151 .
DESTIN_GRID_ID935 4.4988558 0.2173034 20.703 < 2e-16 ***
DESTIN_GRID_ID938 -2.5555429 0.4150650 -6.157 7.41e-10 ***
DESTIN_GRID_ID939 4.2510823 0.2173836 19.556 < 2e-16 ***
DESTIN_GRID_ID940 -1.9502357 0.2608834 -7.476 7.69e-14 ***
DESTIN_GRID_ID949 1.9710671 0.2181198 9.037 < 2e-16 ***
DESTIN_GRID_ID950 3.6996791 0.2174089 17.017 < 2e-16 ***
DESTIN_GRID_ID951 4.4812070 0.2173042 20.622 < 2e-16 ***
DESTIN_GRID_ID952 0.2710615 0.2226312 1.218 0.223400
DESTIN_GRID_ID953 1.7897463 0.2181806 8.203 2.34e-16 ***
DESTIN_GRID_ID954 0.4649450 0.2196534 2.117 0.034284 *
DESTIN_GRID_ID955 3.3111196 0.2174179 15.229 < 2e-16 ***
DESTIN_GRID_ID956 1.0292907 0.2183071 4.715 2.42e-06 ***
DESTIN_GRID_ID957 2.8035957 0.2174857 12.891 < 2e-16 ***
DESTIN_GRID_ID959 -0.2398989 0.2368875 -1.013 0.311198
DESTIN_GRID_ID961 -0.1013521 0.2231105 -0.454 0.649635
DESTIN_GRID_ID962 4.5254906 0.2174200 20.815 < 2e-16 ***
DESTIN_GRID_ID970 2.2411658 0.2176870 10.295 < 2e-16 ***
DESTIN_GRID_ID971 2.9872131 0.2173918 13.741 < 2e-16 ***
DESTIN_GRID_ID972 2.7891986 0.2174527 12.827 < 2e-16 ***
DESTIN_GRID_ID974 2.1714621 0.2177742 9.971 < 2e-16 ***
DESTIN_GRID_ID975 1.4436325 0.2182353 6.615 3.71e-11 ***
DESTIN_GRID_ID976 1.3274978 0.2183194 6.081 1.20e-09 ***
DESTIN_GRID_ID977 2.7692020 0.2174276 12.736 < 2e-16 ***
DESTIN_GRID_ID978 2.6275924 0.2176878 12.070 < 2e-16 ***
DESTIN_GRID_ID982 0.2176891 0.2197982 0.990 0.321977
DESTIN_GRID_ID983 6.2760393 0.2183918 28.738 < 2e-16 ***
DESTIN_GRID_ID984 4.2760927 0.2183269 19.586 < 2e-16 ***
DESTIN_GRID_ID991 2.4453160 0.2177600 11.229 < 2e-16 ***
DESTIN_GRID_ID992 2.6026643 0.2175763 11.962 < 2e-16 ***
DESTIN_GRID_ID993 1.6067135 0.2178367 7.376 1.63e-13 ***
DESTIN_GRID_ID994 1.8810188 0.2178396 8.635 < 2e-16 ***
DESTIN_GRID_ID995 2.5968019 0.2175625 11.936 < 2e-16 ***
DESTIN_GRID_ID996 1.8532677 0.2179844 8.502 < 2e-16 ***
DESTIN_GRID_ID997 0.9675349 0.2211874 4.374 1.22e-05 ***
DESTIN_GRID_ID998 3.2856935 0.2174159 15.112 < 2e-16 ***
DESTIN_GRID_ID999 2.6178952 0.2175894 12.031 < 2e-16 ***
DESTIN_GRID_ID1001 0.5768077 0.2237848 2.578 0.009951 **
DESTIN_GRID_ID1003 3.4876016 0.2173877 16.043 < 2e-16 ***
DESTIN_GRID_ID1004 3.3936061 0.2174018 15.610 < 2e-16 ***
DESTIN_GRID_ID1011 0.6813331 0.2239882 3.042 0.002351 **
DESTIN_GRID_ID1012 2.4734966 0.2181489 11.339 < 2e-16 ***
DESTIN_GRID_ID1013 1.4636515 0.2183169 6.704 2.02e-11 ***
DESTIN_GRID_ID1014 1.4833477 0.2182294 6.797 1.07e-11 ***
DESTIN_GRID_ID1015 0.5226919 0.2196774 2.379 0.017343 *
DESTIN_GRID_ID1016 3.6579827 0.2173736 16.828 < 2e-16 ***
DESTIN_GRID_ID1018 1.6433691 0.2185174 7.521 5.46e-14 ***
DESTIN_GRID_ID1019 3.0975819 0.2174556 14.245 < 2e-16 ***
DESTIN_GRID_ID1023 2.0216912 0.2180727 9.271 < 2e-16 ***
DESTIN_GRID_ID1024 2.7478226 0.2175155 12.633 < 2e-16 ***
DESTIN_GRID_ID1025 0.0833674 0.2237926 0.373 0.709505
DESTIN_GRID_ID1033 1.6415504 0.2184305 7.515 5.68e-14 ***
DESTIN_GRID_ID1034 2.4682884 0.2176419 11.341 < 2e-16 ***
DESTIN_GRID_ID1035 2.8759358 0.2175102 13.222 < 2e-16 ***
DESTIN_GRID_ID1036 2.6979091 0.2175627 12.401 < 2e-16 ***
DESTIN_GRID_ID1037 2.7048204 0.2174857 12.437 < 2e-16 ***
DESTIN_GRID_ID1043 2.3615539 0.2185617 10.805 < 2e-16 ***
DESTIN_GRID_ID1045 2.9374442 0.2174380 13.509 < 2e-16 ***
DESTIN_GRID_ID1046 2.9403360 0.2175399 13.516 < 2e-16 ***
DESTIN_GRID_ID1053 3.1771998 0.2175401 14.605 < 2e-16 ***
DESTIN_GRID_ID1054 1.9663909 0.2179069 9.024 < 2e-16 ***
DESTIN_GRID_ID1055 2.9226677 0.2175109 13.437 < 2e-16 ***
DESTIN_GRID_ID1056 1.9823665 0.2179352 9.096 < 2e-16 ***
DESTIN_GRID_ID1064 -1.4523570 0.2860327 -5.078 3.82e-07 ***
DESTIN_GRID_ID1066 3.3243930 0.2174030 15.291 < 2e-16 ***
DESTIN_GRID_ID1067 -2.1313930 0.2927228 -7.281 3.31e-13 ***
DESTIN_GRID_ID1074 2.4198012 0.2178781 11.106 < 2e-16 ***
DESTIN_GRID_ID1075 0.9761937 0.2196447 4.444 8.81e-06 ***
DESTIN_GRID_ID1076 1.2713759 0.2183044 5.824 5.75e-09 ***
DESTIN_GRID_ID1077 1.7114936 0.2180579 7.849 4.20e-15 ***
DESTIN_GRID_ID1079 3.0205520 0.2174784 13.889 < 2e-16 ***
DESTIN_GRID_ID1085 -0.5747483 0.3206410 -1.792 0.073053 .
DESTIN_GRID_ID1087 2.2962427 0.2176001 10.553 < 2e-16 ***
DESTIN_GRID_ID1088 0.6880722 0.2189078 3.143 0.001671 **
DESTIN_GRID_ID1094 0.3738287 0.2270841 1.646 0.099720 .
DESTIN_GRID_ID1095 0.9661191 0.2245841 4.302 1.69e-05 ***
DESTIN_GRID_ID1096 0.7719117 0.2279058 3.387 0.000707 ***
DESTIN_GRID_ID1097 3.5107751 0.2173886 16.150 < 2e-16 ***
DESTIN_GRID_ID1098 0.9596283 0.2200920 4.360 1.30e-05 ***
DESTIN_GRID_ID1099 2.3543421 0.2176601 10.817 < 2e-16 ***
DESTIN_GRID_ID1105 3.9307278 0.2180215 18.029 < 2e-16 ***
DESTIN_GRID_ID1106 -1.3059305 0.2769996 -4.715 2.42e-06 ***
DESTIN_GRID_ID1107 2.1463909 0.2181230 9.840 < 2e-16 ***
DESTIN_GRID_ID1108 5.0455905 0.2173142 23.218 < 2e-16 ***
DESTIN_GRID_ID1109 0.3785668 0.2229844 1.698 0.089559 .
DESTIN_GRID_ID1116 1.6742427 0.2184487 7.664 1.80e-14 ***
DESTIN_GRID_ID1117 1.6104300 0.2187084 7.363 1.79e-13 ***
DESTIN_GRID_ID1118 1.9015356 0.2184673 8.704 < 2e-16 ***
DESTIN_GRID_ID1119 2.1340870 0.2177920 9.799 < 2e-16 ***
DESTIN_GRID_ID1120 1.6967188 0.2185624 7.763 8.29e-15 ***
DESTIN_GRID_ID1129 2.7432298 0.2175212 12.611 < 2e-16 ***
DESTIN_GRID_ID1130 2.7018792 0.2174825 12.423 < 2e-16 ***
DESTIN_GRID_ID1131 2.2126027 0.2184729 10.128 < 2e-16 ***
DESTIN_GRID_ID1136 1.4253207 0.2189113 6.511 7.47e-11 ***
DESTIN_GRID_ID1138 0.7966119 0.2214628 3.597 0.000322 ***
DESTIN_GRID_ID1139 2.9079820 0.2174556 13.373 < 2e-16 ***
DESTIN_GRID_ID1141 2.4345436 0.2176503 11.186 < 2e-16 ***
DESTIN_GRID_ID1148 -0.6480684 0.2498446 -2.594 0.009490 **
DESTIN_GRID_ID1149 1.2680039 0.2195253 5.776 7.64e-09 ***
DESTIN_GRID_ID1150 2.8543903 0.2174331 13.128 < 2e-16 ***
DESTIN_GRID_ID1151 1.9437856 0.2178829 8.921 < 2e-16 ***
DESTIN_GRID_ID1158 1.3671043 0.2184741 6.258 3.91e-10 ***
DESTIN_GRID_ID1159 2.5349375 0.2175551 11.652 < 2e-16 ***
DESTIN_GRID_ID1160 3.4559990 0.2173851 15.898 < 2e-16 ***
DESTIN_GRID_ID1171 3.3556780 0.2174724 15.430 < 2e-16 ***
DESTIN_GRID_ID1172 3.9231941 0.2173715 18.048 < 2e-16 ***
DESTIN_GRID_ID1173 1.1002486 0.2193247 5.017 5.26e-07 ***
DESTIN_GRID_ID1178 2.4172012 0.2176842 11.104 < 2e-16 ***
DESTIN_GRID_ID1179 3.1328859 0.2174281 14.409 < 2e-16 ***
DESTIN_GRID_ID1180 3.3045600 0.2173957 15.201 < 2e-16 ***
DESTIN_GRID_ID1181 2.3392978 0.2176053 10.750 < 2e-16 ***
DESTIN_GRID_ID1183 1.4515128 0.2185504 6.642 3.10e-11 ***
DESTIN_GRID_ID1190 1.5662031 0.2225924 7.036 1.98e-12 ***
DESTIN_GRID_ID1192 2.6290308 0.2175760 12.083 < 2e-16 ***
DESTIN_GRID_ID1193 2.2670685 0.2177038 10.414 < 2e-16 ***
DESTIN_GRID_ID1194 0.6989359 0.2211410 3.161 0.001575 **
DESTIN_GRID_ID1200 2.3761068 0.2176952 10.915 < 2e-16 ***
DESTIN_GRID_ID1201 2.9936094 0.2174656 13.766 < 2e-16 ***
DESTIN_GRID_ID1203 2.5390618 0.2176255 11.667 < 2e-16 ***
DESTIN_GRID_ID1204 1.8363896 0.2179999 8.424 < 2e-16 ***
DESTIN_GRID_ID1211 -1.0986285 0.3208535 -3.424 0.000617 ***
DESTIN_GRID_ID1214 2.8366898 0.2175246 13.041 < 2e-16 ***
DESTIN_GRID_ID1215 -1.0214158 0.2539211 -4.023 5.76e-05 ***
DESTIN_GRID_ID1216 0.6501396 0.2241412 2.901 0.003725 **
DESTIN_GRID_ID1220 3.0437482 0.2174697 13.996 < 2e-16 ***
DESTIN_GRID_ID1221 2.9906739 0.2174338 13.754 < 2e-16 ***
DESTIN_GRID_ID1222 2.4793655 0.2180300 11.372 < 2e-16 ***
DESTIN_GRID_ID1223 1.9560488 0.2179444 8.975 < 2e-16 ***
DESTIN_GRID_ID1224 2.2028808 0.2177647 10.116 < 2e-16 ***
DESTIN_GRID_ID1231 0.7045173 0.2261276 3.116 0.001836 **
DESTIN_GRID_ID1232 0.8897085 0.2303390 3.863 0.000112 ***
DESTIN_GRID_ID1235 0.3450959 0.2199615 1.569 0.116673
DESTIN_GRID_ID1236 1.6196433 0.2185939 7.409 1.27e-13 ***
DESTIN_GRID_ID1241 1.7395474 0.2180288 7.979 1.48e-15 ***
DESTIN_GRID_ID1242 2.3469088 0.2176414 10.783 < 2e-16 ***
DESTIN_GRID_ID1243 2.9803863 0.2174455 13.706 < 2e-16 ***
DESTIN_GRID_ID1246 2.6291055 0.2175755 12.084 < 2e-16 ***
DESTIN_GRID_ID1256 1.6712110 0.2180581 7.664 1.80e-14 ***
DESTIN_GRID_ID1257 2.3834361 0.2178404 10.941 < 2e-16 ***
DESTIN_GRID_ID1258 1.4162164 0.2194447 6.454 1.09e-10 ***
DESTIN_GRID_ID1262 1.3667340 0.2182879 6.261 3.82e-10 ***
DESTIN_GRID_ID1263 3.2654702 0.2173812 15.022 < 2e-16 ***
DESTIN_GRID_ID1264 1.9744957 0.2179776 9.058 < 2e-16 ***
DESTIN_GRID_ID1265 2.0386956 0.2179722 9.353 < 2e-16 ***
DESTIN_GRID_ID1266 2.2658885 0.2177947 10.404 < 2e-16 ***
DESTIN_GRID_ID1267 1.8043333 0.2185788 8.255 < 2e-16 ***
DESTIN_GRID_ID1272 -1.4515287 0.2725514 -5.326 1.01e-07 ***
DESTIN_GRID_ID1273 1.9495181 0.2182746 8.931 < 2e-16 ***
DESTIN_GRID_ID1277 3.3317429 0.2174335 15.323 < 2e-16 ***
DESTIN_GRID_ID1278 1.0075835 0.2189944 4.601 4.21e-06 ***
DESTIN_GRID_ID1283 4.6014328 0.2173228 21.173 < 2e-16 ***
DESTIN_GRID_ID1284 2.9696583 0.2174489 13.657 < 2e-16 ***
DESTIN_GRID_ID1285 3.5308365 0.2173773 16.243 < 2e-16 ***
DESTIN_GRID_ID1286 1.6682606 0.2183690 7.640 2.18e-14 ***
DESTIN_GRID_ID1289 -0.0057862 0.2287346 -0.025 0.979818
DESTIN_GRID_ID1293 -0.6476345 0.2447347 -2.646 0.008138 **
DESTIN_GRID_ID1294 3.1248496 0.2176758 14.356 < 2e-16 ***
DESTIN_GRID_ID1295 0.8452359 0.2206531 3.831 0.000128 ***
DESTIN_GRID_ID1298 2.0629114 0.2177642 9.473 < 2e-16 ***
DESTIN_GRID_ID1299 2.7233368 0.2176352 12.513 < 2e-16 ***
DESTIN_GRID_ID1304 3.2747315 0.2174298 15.061 < 2e-16 ***
DESTIN_GRID_ID1305 2.9809358 0.2174058 13.711 < 2e-16 ***
DESTIN_GRID_ID1307 1.4877248 0.2203826 6.751 1.47e-11 ***
DESTIN_GRID_ID1308 2.7739679 0.2175322 12.752 < 2e-16 ***
DESTIN_GRID_ID1310 -0.9267262 0.2699447 -3.433 0.000597 ***
DESTIN_GRID_ID1316 0.1645368 0.2223883 0.740 0.459383
DESTIN_GRID_ID1317 0.8859952 0.2187842 4.050 5.13e-05 ***
DESTIN_GRID_ID1318 0.3702954 0.2201461 1.682 0.092560 .
DESTIN_GRID_ID1319 3.8696929 0.2173831 17.801 < 2e-16 ***
DESTIN_GRID_ID1320 1.5654401 0.2187612 7.156 8.31e-13 ***
DESTIN_GRID_ID1324 3.4609258 0.2183190 15.853 < 2e-16 ***
DESTIN_GRID_ID1325 1.1843870 0.2185226 5.420 5.96e-08 ***
DESTIN_GRID_ID1326 2.9409138 0.2174398 13.525 < 2e-16 ***
DESTIN_GRID_ID1327 2.8270392 0.2174526 13.001 < 2e-16 ***
DESTIN_GRID_ID1328 2.2280937 0.2176411 10.237 < 2e-16 ***
DESTIN_GRID_ID1329 2.4086392 0.2178176 11.058 < 2e-16 ***
DESTIN_GRID_ID1330 3.1914507 0.2176944 14.660 < 2e-16 ***
DESTIN_GRID_ID1331 -1.2584439 0.3117990 -4.036 5.44e-05 ***
DESTIN_GRID_ID1333 1.4679649 0.2188371 6.708 1.97e-11 ***
DESTIN_GRID_ID1334 1.8379305 0.2184382 8.414 < 2e-16 ***
DESTIN_GRID_ID1335 1.5131704 0.2189853 6.910 4.85e-12 ***
DESTIN_GRID_ID1336 -0.2586589 0.2476054 -1.045 0.296189
DESTIN_GRID_ID1337 0.5885502 0.2215859 2.656 0.007905 **
DESTIN_GRID_ID1338 -1.8597495 0.2492950 -7.460 8.65e-14 ***
DESTIN_GRID_ID1339 3.6547958 0.2173819 16.813 < 2e-16 ***
DESTIN_GRID_ID1340 2.9549584 0.2175477 13.583 < 2e-16 ***
DESTIN_GRID_ID1341 -1.8475269 0.4150359 -4.451 8.53e-06 ***
DESTIN_GRID_ID1346 2.4119615 0.2177817 11.075 < 2e-16 ***
DESTIN_GRID_ID1347 4.1255402 0.2173420 18.982 < 2e-16 ***
DESTIN_GRID_ID1348 2.8880148 0.2174523 13.281 < 2e-16 ***
DESTIN_GRID_ID1349 3.5173479 0.2174063 16.179 < 2e-16 ***
DESTIN_GRID_ID1350 1.4716678 0.2188938 6.723 1.78e-11 ***
DESTIN_GRID_ID1353 2.7001864 0.2175789 12.410 < 2e-16 ***
DESTIN_GRID_ID1354 0.8674156 0.2193083 3.955 7.65e-05 ***
DESTIN_GRID_ID1355 1.9066183 0.2180530 8.744 < 2e-16 ***
DESTIN_GRID_ID1357 0.5668890 0.2224720 2.548 0.010830 *
DESTIN_GRID_ID1358 3.5920002 0.2174071 16.522 < 2e-16 ***
DESTIN_GRID_ID1359 2.2911747 0.2175643 10.531 < 2e-16 ***
DESTIN_GRID_ID1360 1.8350251 0.2177318 8.428 < 2e-16 ***
DESTIN_GRID_ID1361 3.1243726 0.2175216 14.364 < 2e-16 ***
DESTIN_GRID_ID1362 -0.8183685 0.2593282 -3.156 0.001601 **
DESTIN_GRID_ID1368 1.9372849 0.2177593 8.896 < 2e-16 ***
DESTIN_GRID_ID1369 1.8730568 0.2177321 8.603 < 2e-16 ***
DESTIN_GRID_ID1370 4.2327605 0.2173182 19.477 < 2e-16 ***
DESTIN_GRID_ID1371 2.0876672 0.2177831 9.586 < 2e-16 ***
DESTIN_GRID_ID1372 0.8999132 0.2194310 4.101 4.11e-05 ***
DESTIN_GRID_ID1373 0.3484167 0.2232598 1.561 0.118621
DESTIN_GRID_ID1374 1.5908199 0.2180999 7.294 3.01e-13 ***
DESTIN_GRID_ID1375 2.9144779 0.2176493 13.391 < 2e-16 ***
DESTIN_GRID_ID1376 1.3579382 0.2192446 6.194 5.88e-10 ***
DESTIN_GRID_ID1379 0.6831269 0.2220315 3.077 0.002093 **
DESTIN_GRID_ID1380 3.7741247 0.2173631 17.363 < 2e-16 ***
DESTIN_GRID_ID1381 4.1403038 0.2173408 19.050 < 2e-16 ***
DESTIN_GRID_ID1382 3.1653980 0.2174921 14.554 < 2e-16 ***
DESTIN_GRID_ID1383 0.6297115 0.2203997 2.857 0.004275 **
DESTIN_GRID_ID1388 2.4506401 0.2175817 11.263 < 2e-16 ***
DESTIN_GRID_ID1389 2.0932778 0.2176423 9.618 < 2e-16 ***
DESTIN_GRID_ID1390 2.5056501 0.2175256 11.519 < 2e-16 ***
DESTIN_GRID_ID1391 3.0579672 0.2174493 14.063 < 2e-16 ***
DESTIN_GRID_ID1392 1.8490530 0.2209064 8.370 < 2e-16 ***
DESTIN_GRID_ID1393 0.5554958 0.2197472 2.528 0.011475 *
DESTIN_GRID_ID1394 2.4867627 0.2175637 11.430 < 2e-16 ***
DESTIN_GRID_ID1395 2.6344921 0.2175158 12.112 < 2e-16 ***
DESTIN_GRID_ID1396 3.0807276 0.2174586 14.167 < 2e-16 ***
DESTIN_GRID_ID1397 2.8203122 0.2175194 12.966 < 2e-16 ***
DESTIN_GRID_ID1398 1.7660214 0.2187464 8.073 6.84e-16 ***
DESTIN_GRID_ID1400 2.2069604 0.2178077 10.133 < 2e-16 ***
DESTIN_GRID_ID1401 3.3699579 0.2173696 15.503 < 2e-16 ***
DESTIN_GRID_ID1402 2.5151094 0.2175249 11.562 < 2e-16 ***
DESTIN_GRID_ID1404 3.5461315 0.2182518 16.248 < 2e-16 ***
DESTIN_GRID_ID1410 2.8409199 0.2174510 13.065 < 2e-16 ***
DESTIN_GRID_ID1411 2.2364324 0.2176473 10.275 < 2e-16 ***
DESTIN_GRID_ID1412 3.9031263 0.2173330 17.959 < 2e-16 ***
DESTIN_GRID_ID1413 2.8574344 0.2174634 13.140 < 2e-16 ***
DESTIN_GRID_ID1414 2.1193106 0.2176250 9.738 < 2e-16 ***
DESTIN_GRID_ID1415 2.0623420 0.2177126 9.473 < 2e-16 ***
DESTIN_GRID_ID1416 2.1523297 0.2177010 9.887 < 2e-16 ***
DESTIN_GRID_ID1417 2.0466026 0.2176422 9.404 < 2e-16 ***
DESTIN_GRID_ID1418 2.7255921 0.2175000 12.531 < 2e-16 ***
DESTIN_GRID_ID1419 2.1189606 0.2178162 9.728 < 2e-16 ***
DESTIN_GRID_ID1422 2.4131526 0.2175634 11.092 < 2e-16 ***
DESTIN_GRID_ID1423 2.7964364 0.2174920 12.858 < 2e-16 ***
DESTIN_GRID_ID1430 2.8445282 0.2175745 13.074 < 2e-16 ***
DESTIN_GRID_ID1431 4.4376871 0.2173169 20.420 < 2e-16 ***
DESTIN_GRID_ID1432 3.5232755 0.2173529 16.210 < 2e-16 ***
DESTIN_GRID_ID1433 1.1325479 0.2191167 5.169 2.36e-07 ***
DESTIN_GRID_ID1434 3.3383618 0.2173910 15.356 < 2e-16 ***
DESTIN_GRID_ID1435 2.8155532 0.2174319 12.949 < 2e-16 ***
DESTIN_GRID_ID1436 0.4089993 0.2202007 1.857 0.063255 .
DESTIN_GRID_ID1437 2.9739358 0.2174392 13.677 < 2e-16 ***
DESTIN_GRID_ID1438 3.3856522 0.2173605 15.576 < 2e-16 ***
DESTIN_GRID_ID1439 3.4971908 0.2173864 16.087 < 2e-16 ***
DESTIN_GRID_ID1440 0.7560306 0.2208083 3.424 0.000617 ***
DESTIN_GRID_ID1442 1.7140312 0.2181419 7.857 3.92e-15 ***
DESTIN_GRID_ID1443 2.6188329 0.2175251 12.039 < 2e-16 ***
DESTIN_GRID_ID1444 1.8791606 0.2182575 8.610 < 2e-16 ***
DESTIN_GRID_ID1452 2.9136729 0.2174598 13.399 < 2e-16 ***
DESTIN_GRID_ID1453 3.1174209 0.2174044 14.339 < 2e-16 ***
DESTIN_GRID_ID1454 2.3707806 0.2176568 10.892 < 2e-16 ***
DESTIN_GRID_ID1455 1.9469643 0.2178115 8.939 < 2e-16 ***
DESTIN_GRID_ID1456 2.8725252 0.2174594 13.209 < 2e-16 ***
DESTIN_GRID_ID1457 3.4178825 0.2174030 15.721 < 2e-16 ***
DESTIN_GRID_ID1458 4.2576214 0.2173238 19.591 < 2e-16 ***
DESTIN_GRID_ID1459 2.3092601 0.2175251 10.616 < 2e-16 ***
DESTIN_GRID_ID1460 3.0446921 0.2174036 14.005 < 2e-16 ***
DESTIN_GRID_ID1461 1.5440378 0.2184981 7.067 1.59e-12 ***
DESTIN_GRID_ID1464 2.8214939 0.2175332 12.970 < 2e-16 ***
DESTIN_GRID_ID1465 2.2398327 0.2177641 10.286 < 2e-16 ***
DESTIN_GRID_ID1472 1.8265590 0.2182405 8.369 < 2e-16 ***
DESTIN_GRID_ID1473 2.4152244 0.2175597 11.101 < 2e-16 ***
DESTIN_GRID_ID1474 3.7063955 0.2173344 17.054 < 2e-16 ***
DESTIN_GRID_ID1475 3.8275020 0.2173371 17.611 < 2e-16 ***
DESTIN_GRID_ID1476 2.4181252 0.2175515 11.115 < 2e-16 ***
DESTIN_GRID_ID1477 4.3900734 0.2173078 20.202 < 2e-16 ***
DESTIN_GRID_ID1478 1.9233141 0.2176481 8.837 < 2e-16 ***
DESTIN_GRID_ID1479 2.0517545 0.2175906 9.429 < 2e-16 ***
DESTIN_GRID_ID1480 4.2884013 0.2173157 19.734 < 2e-16 ***
DESTIN_GRID_ID1481 1.0561454 0.2186587 4.830 1.36e-06 ***
DESTIN_GRID_ID1482 1.1698584 0.2195190 5.329 9.87e-08 ***
DESTIN_GRID_ID1485 1.5474263 0.2181624 7.093 1.31e-12 ***
DESTIN_GRID_ID1494 1.7707827 0.2180621 8.121 4.64e-16 ***
DESTIN_GRID_ID1495 3.0146070 0.2174135 13.866 < 2e-16 ***
DESTIN_GRID_ID1496 4.0820033 0.2173181 18.784 < 2e-16 ***
DESTIN_GRID_ID1497 3.0817707 0.2174165 14.175 < 2e-16 ***
DESTIN_GRID_ID1498 2.8395623 0.2174502 13.058 < 2e-16 ***
DESTIN_GRID_ID1499 3.0862524 0.2173857 14.197 < 2e-16 ***
DESTIN_GRID_ID1500 2.8771094 0.2175683 13.224 < 2e-16 ***
DESTIN_GRID_ID1501 2.9904876 0.2174026 13.756 < 2e-16 ***
DESTIN_GRID_ID1502 2.7786577 0.2174585 12.778 < 2e-16 ***
DESTIN_GRID_ID1506 -0.1851806 0.2927434 -0.633 0.527015
DESTIN_GRID_ID1514 -2.9971751 0.6180091 -4.850 1.24e-06 ***
DESTIN_GRID_ID1515 2.0593317 0.2193157 9.390 < 2e-16 ***
DESTIN_GRID_ID1516 3.7461186 0.2173390 17.236 < 2e-16 ***
DESTIN_GRID_ID1517 3.5296623 0.2174009 16.236 < 2e-16 ***
DESTIN_GRID_ID1518 2.4972904 0.2175200 11.481 < 2e-16 ***
DESTIN_GRID_ID1519 2.9283989 0.2175215 13.463 < 2e-16 ***
DESTIN_GRID_ID1520 1.5940501 0.2178389 7.318 2.53e-13 ***
DESTIN_GRID_ID1521 0.3943943 0.2195938 1.796 0.072492 .
DESTIN_GRID_ID1522 3.2886344 0.2173893 15.128 < 2e-16 ***
DESTIN_GRID_ID1523 1.8419411 0.2185686 8.427 < 2e-16 ***
DESTIN_GRID_ID1524 2.1753126 0.2181215 9.973 < 2e-16 ***
DESTIN_GRID_ID1527 0.8718821 0.2204169 3.956 7.63e-05 ***
DESTIN_GRID_ID1535 2.4257464 0.2263596 10.716 < 2e-16 ***
DESTIN_GRID_ID1536 2.3328633 0.2183126 10.686 < 2e-16 ***
DESTIN_GRID_ID1537 3.1749494 0.2174264 14.602 < 2e-16 ***
DESTIN_GRID_ID1538 3.3278556 0.2173711 15.310 < 2e-16 ***
DESTIN_GRID_ID1539 2.8878630 0.2174097 13.283 < 2e-16 ***
DESTIN_GRID_ID1540 2.7793580 0.2174277 12.783 < 2e-16 ***
DESTIN_GRID_ID1541 3.4475323 0.2175940 15.844 < 2e-16 ***
DESTIN_GRID_ID1542 1.2757625 0.2189580 5.827 5.66e-09 ***
DESTIN_GRID_ID1543 1.6220594 0.2212976 7.330 2.31e-13 ***
DESTIN_GRID_ID1544 2.2292403 0.2179144 10.230 < 2e-16 ***
DESTIN_GRID_ID1547 -0.2927271 0.2360109 -1.240 0.214860
DESTIN_GRID_ID1556 2.3742545 0.2209960 10.743 < 2e-16 ***
DESTIN_GRID_ID1557 3.2658995 0.2176231 15.007 < 2e-16 ***
DESTIN_GRID_ID1558 2.7099048 0.2186116 12.396 < 2e-16 ***
DESTIN_GRID_ID1559 3.3051238 0.2173744 15.205 < 2e-16 ***
DESTIN_GRID_ID1560 3.5182343 0.2173599 16.186 < 2e-16 ***
DESTIN_GRID_ID1561 2.7512524 0.2175529 12.646 < 2e-16 ***
DESTIN_GRID_ID1562 0.1958989 0.2204234 0.889 0.374144
DESTIN_GRID_ID1563 1.9815702 0.2176771 9.103 < 2e-16 ***
DESTIN_GRID_ID1564 0.7448313 0.2189276 3.402 0.000669 ***
DESTIN_GRID_ID1565 0.8445032 0.2190778 3.855 0.000116 ***
DESTIN_GRID_ID1566 0.6703164 0.2203061 3.043 0.002345 **
DESTIN_GRID_ID1567 -1.2366839 0.2617501 -4.725 2.30e-06 ***
DESTIN_GRID_ID1568 0.1414498 0.2312435 0.612 0.540742
DESTIN_GRID_ID1578 1.2977422 0.2387257 5.436 5.45e-08 ***
DESTIN_GRID_ID1580 1.7587281 0.2182960 8.057 7.84e-16 ***
DESTIN_GRID_ID1581 0.7696940 0.2186613 3.520 0.000431 ***
DESTIN_GRID_ID1582 3.0420235 0.2173948 13.993 < 2e-16 ***
DESTIN_GRID_ID1583 1.9205654 0.2192173 8.761 < 2e-16 ***
DESTIN_GRID_ID1584 1.8112529 0.2180024 8.308 < 2e-16 ***
DESTIN_GRID_ID1585 2.8842233 0.2175276 13.259 < 2e-16 ***
DESTIN_GRID_ID1586 0.7277889 0.2190177 3.323 0.000891 ***
DESTIN_GRID_ID1589 -0.4680248 0.2342346 -1.998 0.045706 *
DESTIN_GRID_ID1590 0.0735329 0.2347426 0.313 0.754092
DESTIN_GRID_ID1600 3.0975689 0.2181157 14.201 < 2e-16 ***
DESTIN_GRID_ID1601 2.4820256 0.2174943 11.412 < 2e-16 ***
DESTIN_GRID_ID1602 2.7029596 0.2175070 12.427 < 2e-16 ***
DESTIN_GRID_ID1603 3.4540115 0.2173905 15.889 < 2e-16 ***
DESTIN_GRID_ID1604 1.8272782 0.2177341 8.392 < 2e-16 ***
DESTIN_GRID_ID1605 2.8581141 0.2174266 13.145 < 2e-16 ***
DESTIN_GRID_ID1606 2.7713061 0.2178073 12.724 < 2e-16 ***
DESTIN_GRID_ID1607 0.9393970 0.2185086 4.299 1.71e-05 ***
DESTIN_GRID_ID1608 3.0766443 0.2174798 14.147 < 2e-16 ***
DESTIN_GRID_ID1609 2.9065953 0.2175840 13.358 < 2e-16 ***
DESTIN_GRID_ID1610 0.3041337 0.2347392 1.296 0.195105
DESTIN_GRID_ID1622 2.9414115 0.2181364 13.484 < 2e-16 ***
DESTIN_GRID_ID1623 3.3453705 0.2173661 15.390 < 2e-16 ***
DESTIN_GRID_ID1624 1.9669263 0.2177594 9.033 < 2e-16 ***
DESTIN_GRID_ID1625 3.1811349 0.2174241 14.631 < 2e-16 ***
DESTIN_GRID_ID1626 4.6327787 0.2173089 21.319 < 2e-16 ***
DESTIN_GRID_ID1627 1.7522706 0.2177303 8.048 8.42e-16 ***
DESTIN_GRID_ID1628 3.4827300 0.2173906 16.021 < 2e-16 ***
DESTIN_GRID_ID1629 1.7599432 0.2179550 8.075 6.76e-16 ***
DESTIN_GRID_ID1630 1.9731886 0.2178856 9.056 < 2e-16 ***
DESTIN_GRID_ID1631 -0.9870555 0.2428840 -4.064 4.83e-05 ***
DESTIN_GRID_ID1642 0.8221913 0.2219601 3.704 0.000212 ***
DESTIN_GRID_ID1643 2.9291432 0.2174387 13.471 < 2e-16 ***
DESTIN_GRID_ID1644 1.8190062 0.2181135 8.340 < 2e-16 ***
DESTIN_GRID_ID1645 2.4190920 0.2175656 11.119 < 2e-16 ***
DESTIN_GRID_ID1646 2.0513688 0.2179523 9.412 < 2e-16 ***
DESTIN_GRID_ID1647 2.7467368 0.2174316 12.633 < 2e-16 ***
DESTIN_GRID_ID1648 2.5381895 0.2174813 11.671 < 2e-16 ***
DESTIN_GRID_ID1649 2.7975573 0.2174473 12.865 < 2e-16 ***
DESTIN_GRID_ID1650 3.0804372 0.2175047 14.163 < 2e-16 ***
DESTIN_GRID_ID1664 -0.5358831 0.2432464 -2.203 0.027591 *
DESTIN_GRID_ID1665 3.3173734 0.2173736 15.261 < 2e-16 ***
DESTIN_GRID_ID1666 2.1641143 0.2175811 9.946 < 2e-16 ***
DESTIN_GRID_ID1667 1.0361955 0.2219897 4.668 3.04e-06 ***
DESTIN_GRID_ID1668 2.7286258 0.2174616 12.548 < 2e-16 ***
DESTIN_GRID_ID1670 3.2647120 0.2173803 15.018 < 2e-16 ***
DESTIN_GRID_ID1671 3.3842313 0.2176372 15.550 < 2e-16 ***
DESTIN_GRID_ID1672 2.5852983 0.2177150 11.875 < 2e-16 ***
DESTIN_GRID_ID1684 1.8739570 0.2185197 8.576 < 2e-16 ***
DESTIN_GRID_ID1685 2.7513718 0.2174851 12.651 < 2e-16 ***
DESTIN_GRID_ID1686 2.5325764 0.2175037 11.644 < 2e-16 ***
DESTIN_GRID_ID1687 2.2943677 0.2178669 10.531 < 2e-16 ***
DESTIN_GRID_ID1688 1.6241108 0.2178795 7.454 9.04e-14 ***
DESTIN_GRID_ID1689 1.4553659 0.2180010 6.676 2.46e-11 ***
DESTIN_GRID_ID1690 1.6801407 0.2178704 7.712 1.24e-14 ***
DESTIN_GRID_ID1691 2.7738852 0.2174503 12.756 < 2e-16 ***
DESTIN_GRID_ID1692 1.9732845 0.2179559 9.054 < 2e-16 ***
DESTIN_GRID_ID1706 2.5997516 0.2176118 11.947 < 2e-16 ***
DESTIN_GRID_ID1707 2.3943663 0.2175016 11.008 < 2e-16 ***
DESTIN_GRID_ID1708 2.7618122 0.2174512 12.701 < 2e-16 ***
DESTIN_GRID_ID1709 2.3064640 0.2175957 10.600 < 2e-16 ***
DESTIN_GRID_ID1710 2.8722093 0.2174679 13.208 < 2e-16 ***
DESTIN_GRID_ID1711 3.8877736 0.2173510 17.887 < 2e-16 ***
DESTIN_GRID_ID1712 3.2908208 0.2173711 15.139 < 2e-16 ***
DESTIN_GRID_ID1713 1.0652324 0.2184689 4.876 1.08e-06 ***
DESTIN_GRID_ID1714 3.0651084 0.2174988 14.093 < 2e-16 ***
DESTIN_GRID_ID1726 -1.3299899 0.2953686 -4.503 6.71e-06 ***
DESTIN_GRID_ID1727 2.8736587 0.2174771 13.214 < 2e-16 ***
DESTIN_GRID_ID1728 3.1561380 0.2173871 14.519 < 2e-16 ***
DESTIN_GRID_ID1729 2.3543739 0.2175451 10.822 < 2e-16 ***
DESTIN_GRID_ID1730 0.3545314 0.2208273 1.605 0.108391
DESTIN_GRID_ID1731 2.6614855 0.2174919 12.237 < 2e-16 ***
DESTIN_GRID_ID1732 2.9211414 0.2173989 13.437 < 2e-16 ***
DESTIN_GRID_ID1733 2.4273741 0.2174952 11.161 < 2e-16 ***
DESTIN_GRID_ID1734 3.0927536 0.2174149 14.225 < 2e-16 ***
DESTIN_GRID_ID1735 3.5331602 0.2179018 16.214 < 2e-16 ***
DESTIN_GRID_ID1748 2.0360948 0.2177693 9.350 < 2e-16 ***
DESTIN_GRID_ID1749 3.8263353 0.2173350 17.606 < 2e-16 ***
DESTIN_GRID_ID1750 2.3174187 0.2175369 10.653 < 2e-16 ***
DESTIN_GRID_ID1751 1.0809208 0.2186700 4.943 7.69e-07 ***
DESTIN_GRID_ID1753 3.0553055 0.2174142 14.053 < 2e-16 ***
DESTIN_GRID_ID1754 4.1670054 0.2173211 19.174 < 2e-16 ***
DESTIN_GRID_ID1755 3.2309057 0.2173810 14.863 < 2e-16 ***
DESTIN_GRID_ID1756 2.4934981 0.2175113 11.464 < 2e-16 ***
DESTIN_GRID_ID1757 -0.0630561 0.2261185 -0.279 0.780350
DESTIN_GRID_ID1768 -0.3665908 0.2352824 -1.558 0.119212
DESTIN_GRID_ID1769 2.4054761 0.2175397 11.058 < 2e-16 ***
DESTIN_GRID_ID1770 2.8597814 0.2175343 13.146 < 2e-16 ***
DESTIN_GRID_ID1771 2.0160350 0.2178270 9.255 < 2e-16 ***
DESTIN_GRID_ID1772 1.4860284 0.2217670 6.701 2.07e-11 ***
DESTIN_GRID_ID1774 2.5209170 0.2175028 11.590 < 2e-16 ***
DESTIN_GRID_ID1775 2.1975301 0.2175683 10.100 < 2e-16 ***
DESTIN_GRID_ID1776 4.1741996 0.2173279 19.207 < 2e-16 ***
DESTIN_GRID_ID1777 2.7347421 0.2175148 12.573 < 2e-16 ***
DESTIN_GRID_ID1778 2.1077926 0.2193205 9.611 < 2e-16 ***
DESTIN_GRID_ID1790 3.5929625 0.2173882 16.528 < 2e-16 ***
DESTIN_GRID_ID1791 3.2843541 0.2174270 15.106 < 2e-16 ***
DESTIN_GRID_ID1792 2.5833821 0.2177169 11.866 < 2e-16 ***
DESTIN_GRID_ID1793 1.7049062 0.2179994 7.821 5.25e-15 ***
DESTIN_GRID_ID1794 -0.3350891 0.2600581 -1.289 0.197566
DESTIN_GRID_ID1795 -0.1647184 0.2251983 -0.731 0.464512
DESTIN_GRID_ID1796 2.9065504 0.2174583 13.366 < 2e-16 ***
DESTIN_GRID_ID1797 2.9037528 0.2174236 13.355 < 2e-16 ***
DESTIN_GRID_ID1798 2.8726710 0.2174346 13.212 < 2e-16 ***
DESTIN_GRID_ID1799 2.0006416 0.2178514 9.184 < 2e-16 ***
DESTIN_GRID_ID1800 1.9328023 0.2216032 8.722 < 2e-16 ***
DESTIN_GRID_ID1811 2.5762370 0.2175285 11.843 < 2e-16 ***
DESTIN_GRID_ID1812 3.5911827 0.2173498 16.523 < 2e-16 ***
DESTIN_GRID_ID1813 2.9637140 0.2174264 13.631 < 2e-16 ***
DESTIN_GRID_ID1817 2.4957453 0.2176117 11.469 < 2e-16 ***
DESTIN_GRID_ID1818 2.6827990 0.2174529 12.337 < 2e-16 ***
DESTIN_GRID_ID1819 4.1585790 0.2173368 19.134 < 2e-16 ***
DESTIN_GRID_ID1820 0.7036672 0.2209267 3.185 0.001447 **
DESTIN_GRID_ID1832 4.0952810 0.2173486 18.842 < 2e-16 ***
DESTIN_GRID_ID1833 2.2922497 0.2175682 10.536 < 2e-16 ***
DESTIN_GRID_ID1834 2.3304170 0.2175395 10.713 < 2e-16 ***
DESTIN_GRID_ID1835 1.5285109 0.2181593 7.006 2.45e-12 ***
DESTIN_GRID_ID1837 -0.4587967 0.2516952 -1.823 0.068330 .
DESTIN_GRID_ID1839 2.2805079 0.2176888 10.476 < 2e-16 ***
DESTIN_GRID_ID1840 3.8857499 0.2173494 17.878 < 2e-16 ***
DESTIN_GRID_ID1841 1.5266267 0.2188810 6.975 3.07e-12 ***
DESTIN_GRID_ID1842 3.7474432 0.2181936 17.175 < 2e-16 ***
DESTIN_GRID_ID1853 2.5888600 0.2174925 11.903 < 2e-16 ***
DESTIN_GRID_ID1854 2.8971438 0.2174414 13.324 < 2e-16 ***
DESTIN_GRID_ID1855 3.1191176 0.2174383 14.345 < 2e-16 ***
DESTIN_GRID_ID1858 -0.1222063 0.2361465 -0.518 0.604806
DESTIN_GRID_ID1860 3.1008014 0.2181449 14.214 < 2e-16 ***
DESTIN_GRID_ID1861 2.6268624 0.2175334 12.076 < 2e-16 ***
DESTIN_GRID_ID1874 2.9968985 0.2175217 13.777 < 2e-16 ***
DESTIN_GRID_ID1875 1.1068135 0.2189246 5.056 4.29e-07 ***
DESTIN_GRID_ID1876 2.9889186 0.2184405 13.683 < 2e-16 ***
DESTIN_GRID_ID1877 2.7802285 0.2175024 12.783 < 2e-16 ***
DESTIN_GRID_ID1880 -0.3586792 0.2527541 -1.419 0.155875
DESTIN_GRID_ID1882 2.8750826 0.2174986 13.219 < 2e-16 ***
DESTIN_GRID_ID1883 2.4856318 0.2184720 11.377 < 2e-16 ***
DESTIN_GRID_ID1895 2.5734130 0.2175480 11.829 < 2e-16 ***
DESTIN_GRID_ID1896 1.9469388 0.2177214 8.942 < 2e-16 ***
DESTIN_GRID_ID1897 1.6018695 0.2180966 7.345 2.06e-13 ***
DESTIN_GRID_ID1898 -0.7104610 0.2488775 -2.855 0.004308 **
DESTIN_GRID_ID1901 -0.4747179 0.2570818 -1.847 0.064810 .
DESTIN_GRID_ID1903 2.2607723 0.2181605 10.363 < 2e-16 ***
DESTIN_GRID_ID1916 0.1320804 0.2296033 0.575 0.565119
DESTIN_GRID_ID1917 2.0325570 0.2177352 9.335 < 2e-16 ***
DESTIN_GRID_ID1918 2.9730386 0.2175322 13.667 < 2e-16 ***
DESTIN_GRID_ID1919 3.2330482 0.2174308 14.869 < 2e-16 ***
DESTIN_GRID_ID1922 0.2082108 0.2326692 0.895 0.370852
DESTIN_GRID_ID1924 2.2359567 0.2182099 10.247 < 2e-16 ***
DESTIN_GRID_ID1937 2.5763624 0.2176079 11.839 < 2e-16 ***
DESTIN_GRID_ID1938 2.9312107 0.2174325 13.481 < 2e-16 ***
DESTIN_GRID_ID1939 3.0267304 0.2174768 13.917 < 2e-16 ***
DESTIN_GRID_ID1942 0.5597229 0.2277888 2.457 0.014002 *
DESTIN_GRID_ID1958 -0.6829346 0.2557733 -2.670 0.007583 **
DESTIN_GRID_ID1959 2.1965438 0.2177768 10.086 < 2e-16 ***
DESTIN_GRID_ID1960 4.7451219 0.2173083 21.836 < 2e-16 ***
DESTIN_GRID_ID1961 2.2332005 0.2177242 10.257 < 2e-16 ***
DESTIN_GRID_ID1962 2.8397180 0.2175102 13.056 < 2e-16 ***
DESTIN_GRID_ID1964 0.5696876 0.2355891 2.418 0.015600 *
DESTIN_GRID_ID1979 2.3169958 0.2177952 10.638 < 2e-16 ***
DESTIN_GRID_ID1980 0.5098229 0.2189371 2.329 0.019879 *
DESTIN_GRID_ID1981 2.6540436 0.2175128 12.202 < 2e-16 ***
DESTIN_GRID_ID1982 1.4346410 0.2187816 6.557 5.47e-11 ***
DESTIN_GRID_ID1983 2.9366447 0.2174930 13.502 < 2e-16 ***
DESTIN_GRID_ID1984 1.7404258 0.2180823 7.981 1.46e-15 ***
DESTIN_GRID_ID1985 2.2653071 0.2177798 10.402 < 2e-16 ***
DESTIN_GRID_ID2001 2.5942577 0.2175654 11.924 < 2e-16 ***
DESTIN_GRID_ID2002 3.0182397 0.2174007 13.883 < 2e-16 ***
DESTIN_GRID_ID2003 3.1590202 0.2174218 14.529 < 2e-16 ***
DESTIN_GRID_ID2004 3.4905706 0.2174076 16.055 < 2e-16 ***
DESTIN_GRID_ID2005 2.7898265 0.2175155 12.826 < 2e-16 ***
DESTIN_GRID_ID2006 3.3174518 0.2174656 15.255 < 2e-16 ***
DESTIN_GRID_ID2007 0.7337700 0.2215584 3.312 0.000927 ***
DESTIN_GRID_ID2022 2.9571585 0.2175909 13.590 < 2e-16 ***
DESTIN_GRID_ID2023 3.3403681 0.2174000 15.365 < 2e-16 ***
DESTIN_GRID_ID2024 2.9289580 0.2174353 13.470 < 2e-16 ***
DESTIN_GRID_ID2025 2.5313564 0.2174945 11.639 < 2e-16 ***
DESTIN_GRID_ID2026 1.8245708 0.2180572 8.367 < 2e-16 ***
DESTIN_GRID_ID2027 3.3286175 0.2174444 15.308 < 2e-16 ***
DESTIN_GRID_ID2043 2.3954090 0.2177430 11.001 < 2e-16 ***
DESTIN_GRID_ID2044 2.9333472 0.2174507 13.490 < 2e-16 ***
DESTIN_GRID_ID2045 0.3168315 0.2231272 1.420 0.155620
DESTIN_GRID_ID2046 3.6127095 0.2173505 16.622 < 2e-16 ***
DESTIN_GRID_ID2047 2.4538416 0.2175512 11.279 < 2e-16 ***
DESTIN_GRID_ID2048 2.6804573 0.2175326 12.322 < 2e-16 ***
DESTIN_GRID_ID2049 0.7145730 0.2207808 3.237 0.001210 **
DESTIN_GRID_ID2064 2.8795523 0.2175239 13.238 < 2e-16 ***
DESTIN_GRID_ID2065 2.0812424 0.2177291 9.559 < 2e-16 ***
DESTIN_GRID_ID2066 0.4450830 0.2220665 2.004 0.045040 *
DESTIN_GRID_ID2067 4.9223089 0.2173079 22.651 < 2e-16 ***
DESTIN_GRID_ID2068 2.5831108 0.2177354 11.864 < 2e-16 ***
DESTIN_GRID_ID2069 2.8177275 0.2175662 12.951 < 2e-16 ***
DESTIN_GRID_ID2085 2.1367462 0.2178820 9.807 < 2e-16 ***
DESTIN_GRID_ID2086 3.6852526 0.2173876 16.952 < 2e-16 ***
DESTIN_GRID_ID2087 2.4932090 0.2175933 11.458 < 2e-16 ***
DESTIN_GRID_ID2088 2.7532977 0.2174439 12.662 < 2e-16 ***
DESTIN_GRID_ID2089 2.0389394 0.2177797 9.362 < 2e-16 ***
DESTIN_GRID_ID2090 4.4796552 0.2173284 20.612 < 2e-16 ***
DESTIN_GRID_ID2091 1.6181660 0.2210274 7.321 2.46e-13 ***
DESTIN_GRID_ID2105 1.7776359 0.2354261 7.551 4.33e-14 ***
DESTIN_GRID_ID2106 0.7170600 0.2196190 3.265 0.001095 **
DESTIN_GRID_ID2107 1.7275901 0.2179501 7.927 2.25e-15 ***
DESTIN_GRID_ID2108 3.3756797 0.2174333 15.525 < 2e-16 ***
DESTIN_GRID_ID2109 2.5335178 0.2174842 11.649 < 2e-16 ***
DESTIN_GRID_ID2110 1.8252075 0.2179185 8.376 < 2e-16 ***
DESTIN_GRID_ID2111 -0.1069124 0.2283814 -0.468 0.639691
DESTIN_GRID_ID2128 1.7236849 0.2186394 7.884 3.18e-15 ***
DESTIN_GRID_ID2129 1.7464509 0.2187684 7.983 1.43e-15 ***
DESTIN_GRID_ID2130 3.2570545 0.2173984 14.982 < 2e-16 ***
DESTIN_GRID_ID2131 3.2985815 0.2174807 15.167 < 2e-16 ***
DESTIN_GRID_ID2132 3.0577002 0.2174589 14.061 < 2e-16 ***
DESTIN_GRID_ID2148 2.4821979 0.2182301 11.374 < 2e-16 ***
DESTIN_GRID_ID2149 0.8200471 0.2197837 3.731 0.000191 ***
DESTIN_GRID_ID2150 3.1711745 0.2174797 14.581 < 2e-16 ***
DESTIN_GRID_ID2151 3.7109840 0.2173611 17.073 < 2e-16 ***
DESTIN_GRID_ID2152 3.4139629 0.2174173 15.702 < 2e-16 ***
DESTIN_GRID_ID2153 2.7342618 0.2176655 12.562 < 2e-16 ***
DESTIN_GRID_ID2171 3.0923161 0.2175102 14.217 < 2e-16 ***
DESTIN_GRID_ID2172 1.9402281 0.2179456 8.902 < 2e-16 ***
DESTIN_GRID_ID2173 2.2876092 0.2175918 10.513 < 2e-16 ***
DESTIN_GRID_ID2174 2.6365077 0.2176137 12.116 < 2e-16 ***
DESTIN_GRID_ID2191 2.5144191 0.2181091 11.528 < 2e-16 ***
DESTIN_GRID_ID2192 1.6051485 0.2186445 7.341 2.11e-13 ***
DESTIN_GRID_ID2193 2.2087297 0.2177822 10.142 < 2e-16 ***
DESTIN_GRID_ID2194 2.9260242 0.2174927 13.453 < 2e-16 ***
DESTIN_GRID_ID2195 1.4184503 0.2230456 6.359 2.02e-10 ***
DESTIN_GRID_ID2212 1.6772986 0.2282094 7.350 1.98e-13 ***
DESTIN_GRID_ID2213 0.1149605 0.2276849 0.505 0.613622
DESTIN_GRID_ID2214 0.7787657 0.2242158 3.473 0.000514 ***
DESTIN_GRID_ID2215 2.6245422 0.2177538 12.053 < 2e-16 ***
DESTIN_GRID_ID2216 1.3294026 0.2187987 6.076 1.23e-09 ***
DESTIN_GRID_ID2233 1.3023845 0.2251830 5.784 7.31e-09 ***
DESTIN_GRID_ID2234 2.7597746 0.2193741 12.580 < 2e-16 ***
DESTIN_GRID_ID2235 1.8432628 0.2190730 8.414 < 2e-16 ***
DESTIN_GRID_ID2236 0.6620808 0.2207500 2.999 0.002707 **
DESTIN_GRID_ID2237 -0.7608433 0.2859163 -2.661 0.007789 **
DESTIN_GRID_ID2256 -0.2876470 0.2421955 -1.188 0.234965
DESTIN_GRID_ID2257 1.1311921 0.2209838 5.119 3.07e-07 ***
DESTIN_GRID_ID2258 0.6396245 0.2217136 2.885 0.003915 **
DESTIN_GRID_ID2259 0.7841007 0.2344899 3.344 0.000826 ***
DESTIN_GRID_ID2277 0.6501535 0.2326218 2.795 0.005192 **
DESTIN_GRID_ID2278 0.9337766 0.2235933 4.176 2.96e-05 ***
DESTIN_GRID_ID2279 0.8567104 0.2207766 3.880 0.000104 ***
DESTIN_GRID_ID2280 -0.0529677 0.2323948 -0.228 0.819707
DESTIN_GRID_ID2297 2.1641670 0.2191967 9.873 < 2e-16 ***
DESTIN_GRID_ID2300 0.7302509 0.2272001 3.214 0.001308 **
DESTIN_GRID_ID2301 0.8299003 0.2203372 3.767 0.000166 ***
DESTIN_GRID_ID2318 3.1362280 0.2178353 14.397 < 2e-16 ***
DESTIN_GRID_ID2319 4.1781610 0.2174556 19.214 < 2e-16 ***
DESTIN_GRID_ID2322 3.8692976 0.2175886 17.783 < 2e-16 ***
DESTIN_GRID_ID2337 4.5706828 0.2184380 20.924 < 2e-16 ***
DESTIN_GRID_ID2341 4.8303566 0.2174040 22.218 < 2e-16 ***
DESTIN_GRID_ID2343 2.3419470 0.2180420 10.741 < 2e-16 ***
DESTIN_GRID_ID2361 2.6508095 0.2180531 12.157 < 2e-16 ***
DESTIN_GRID_ID2364 1.5090998 0.2193208 6.881 5.95e-12 ***
DESTIN_GRID_ID2379 -0.3938915 0.2268400 -1.736 0.082488 .
DESTIN_GRID_ID2384 2.1441773 0.2191407 9.784 < 2e-16 ***
DESTIN_GRID_ID2405 1.8841519 0.2191674 8.597 < 2e-16 ***
DESTIN_GRID_ID2406 0.0022812 0.2320732 0.010 0.992157
DESTIN_GRID_ID2426 1.3526996 0.2284600 5.921 3.20e-09 ***
DESTIN_GRID_ID2427 1.6196841 0.2202800 7.353 1.94e-13 ***
DESTIN_GRID_ID2505 2.5199533 0.2354703 10.702 < 2e-16 ***
log(dist) -1.5608598 0.0004981 -3133.742 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 27023218 on 61607 degrees of freedom
Residual deviance: 5639321 on 59966 degrees of freedom
AIC: 5930260
Number of Fisher Scoring iterations: 10dbcSIM$coefficients[1642]log(dist)
-1.56086 CalcRSquared(dbcSIM$data$MORNING_PEAK, dbcSIM$fitted.values)[1] 0.6688552From the above results, I noticed that most variables are statistically significant(p-value< 0.05) for ORIGIN_GRID_IDxxx and DESTIN_GRID_IDxxx but log(dist) is statistically significant(p-value< 0.05) with coefficient of -1.56. The Rsquared is the highest of all with other 3 models with 0.67.
14.9 Model Comparisons
I will use the compare_performance() for performance package to compare the root mean square error (RMSE) of the SIMs. The better model has lower RMSE.
I will first create a list called model_list by containing all our fitted SIM models using the code chunk below.
model_list <- list(
Unconstrained = uncSIM2,
Origin_Constrained = orcSIM,
Destination_Constrained = decSIM,
Doubly_Constrained = dbcSIM)compare_performance(model_list,
metrics = "RMSE")# Comparison of Model Performance Indices
Name | Model | RMSE
-----------------------------------------
Unconstrained | glm | 458.768
Origin_Constrained | glm | 365.453
Destination_Constrained | glm | 391.808
Doubly_Constrained | glm | 302.809The results above shows that doubly constrained SIM is the best model among all four SIMs as it has the smallest RMSE value of 303.
I will visualize the actual vs predicted Weekends/Holiday Morning Peak Hourp Trips with my best model as shown below.
flow_data_tidy_plot <- flow_data_tidy
flow_data_tidy_plot$dbc_predicted_value = as.numeric(dbcSIM$fitted.values)
# Create a ggplot object
ggplot(flow_data_tidy_plot, aes(x = dbc_predicted_value, y = MORNING_PEAK))+
geom_point() +
geom_smooth(method=lm) +
labs(title = "dbcSIM Model Visualization",
x = "Predicted",
y = "Actual Morning Peak") +
theme_minimal()
15 Removing the flow from and to Johor Bahru
In this section, I will remove the flow from and to Johor Bahru as I do not have any data of propulsiveness and attractiveness in Johor Bahru. (grid_id = 819, 942, 984).
Next, I will recalibrate the models.
ids_to_remove <- as.factor(c(819,942,984))
flow_data_tidy_sg <- flow_data_tidy[!(flow_data_tidy$ORIGIN_GRID_ID %in% levels(ids_to_remove)), ]
flow_data_tidy_sg <- flow_data_tidy_sg[!(flow_data_tidy_sg$DESTIN_GRID_ID %in% levels(ids_to_remove)), ]15.1 Doubly Constrained SIM
dbcSIM_sg <- glm(formula = MORNING_PEAK ~
ORIGIN_GRID_ID +
DESTIN_GRID_ID +
log(dist),
family = poisson(link = "log"),
data = flow_data_tidy_sg,
na.action = na.exclude)
write_rds(dbcSIM_sg, "data/rds/dbcSIM_sg.rds")dbcSIM_sg <- read_rds("data/rds/dbcSIM_sg.rds")
summary(dbcSIM_sg)
Call:
glm(formula = MORNING_PEAK ~ ORIGIN_GRID_ID + DESTIN_GRID_ID +
log(dist), family = poisson(link = "log"), data = flow_data_tidy_sg,
na.action = na.exclude)
Coefficients:
Estimate Std. Error z value Pr(>|z|)
(Intercept) 10.563701 0.293596 35.980 < 2e-16 ***
ORIGIN_GRID_ID46 1.920070 0.218663 8.781 < 2e-16 ***
ORIGIN_GRID_ID66 1.920166 0.308743 6.219 4.99e-10 ***
ORIGIN_GRID_ID67 2.866338 0.202124 14.181 < 2e-16 ***
ORIGIN_GRID_ID68 0.327641 0.249509 1.313 0.189134
ORIGIN_GRID_ID86 0.921252 0.209611 4.395 1.11e-05 ***
ORIGIN_GRID_ID87 3.403166 0.234319 14.524 < 2e-16 ***
ORIGIN_GRID_ID88 3.987668 0.199512 19.987 < 2e-16 ***
ORIGIN_GRID_ID89 1.713194 0.270371 6.336 2.35e-10 ***
ORIGIN_GRID_ID90 2.632988 0.224336 11.737 < 2e-16 ***
ORIGIN_GRID_ID109 1.684213 0.224964 7.487 7.07e-14 ***
ORIGIN_GRID_ID110 1.437289 0.214551 6.699 2.10e-11 ***
ORIGIN_GRID_ID111 6.494885 0.201054 32.304 < 2e-16 ***
ORIGIN_GRID_ID112 0.537884 0.259220 2.075 0.037986 *
ORIGIN_GRID_ID128 5.961495 0.203200 29.338 < 2e-16 ***
ORIGIN_GRID_ID129 2.630776 0.269180 9.773 < 2e-16 ***
ORIGIN_GRID_ID130 1.952291 0.212745 9.177 < 2e-16 ***
ORIGIN_GRID_ID131 1.239921 0.207605 5.972 2.34e-09 ***
ORIGIN_GRID_ID132 1.552667 0.215759 7.196 6.19e-13 ***
ORIGIN_GRID_ID133 1.266730 0.209994 6.032 1.62e-09 ***
ORIGIN_GRID_ID134 2.973231 0.222466 13.365 < 2e-16 ***
ORIGIN_GRID_ID150 6.200747 0.202467 30.626 < 2e-16 ***
ORIGIN_GRID_ID151 2.235365 0.214775 10.408 < 2e-16 ***
ORIGIN_GRID_ID152 2.656051 0.232009 11.448 < 2e-16 ***
ORIGIN_GRID_ID153 3.357248 0.207479 16.181 < 2e-16 ***
ORIGIN_GRID_ID154 3.463916 0.201435 17.196 < 2e-16 ***
ORIGIN_GRID_ID155 0.003784 0.225790 0.017 0.986628
ORIGIN_GRID_ID156 1.210215 0.217574 5.562 2.66e-08 ***
ORIGIN_GRID_ID172 3.139639 0.222606 14.104 < 2e-16 ***
ORIGIN_GRID_ID174 1.721800 0.217092 7.931 2.17e-15 ***
ORIGIN_GRID_ID175 1.634038 0.211356 7.731 1.07e-14 ***
ORIGIN_GRID_ID176 3.194735 0.201304 15.870 < 2e-16 ***
ORIGIN_GRID_ID195 2.384912 0.210180 11.347 < 2e-16 ***
ORIGIN_GRID_ID196 1.674564 0.206494 8.110 5.08e-16 ***
ORIGIN_GRID_ID197 0.849409 0.263477 3.224 0.001265 **
ORIGIN_GRID_ID215 3.014132 0.210191 14.340 < 2e-16 ***
ORIGIN_GRID_ID216 3.115056 0.204634 15.223 < 2e-16 ***
ORIGIN_GRID_ID217 2.724772 0.202933 13.427 < 2e-16 ***
ORIGIN_GRID_ID237 2.033793 0.244415 8.321 < 2e-16 ***
ORIGIN_GRID_ID238 1.288129 0.217636 5.919 3.24e-09 ***
ORIGIN_GRID_ID239 1.036406 0.253705 4.085 4.41e-05 ***
ORIGIN_GRID_ID257 3.609585 0.205900 17.531 < 2e-16 ***
ORIGIN_GRID_ID258 0.813757 0.218849 3.718 0.000201 ***
ORIGIN_GRID_ID259 1.928678 0.206945 9.320 < 2e-16 ***
ORIGIN_GRID_ID278 5.219093 0.203445 25.654 < 2e-16 ***
ORIGIN_GRID_ID279 3.008963 0.205191 14.664 < 2e-16 ***
ORIGIN_GRID_ID280 2.156284 0.205685 10.483 < 2e-16 ***
ORIGIN_GRID_ID298 0.776441 0.406555 1.910 0.056158 .
ORIGIN_GRID_ID299 2.605932 0.214045 12.175 < 2e-16 ***
ORIGIN_GRID_ID300 2.079756 0.208319 9.984 < 2e-16 ***
ORIGIN_GRID_ID320 3.310842 0.209496 15.804 < 2e-16 ***
ORIGIN_GRID_ID321 2.425054 0.221492 10.949 < 2e-16 ***
ORIGIN_GRID_ID322 1.695079 0.216505 7.829 4.91e-15 ***
ORIGIN_GRID_ID340 4.937512 0.204104 24.191 < 2e-16 ***
ORIGIN_GRID_ID341 3.500849 0.206057 16.990 < 2e-16 ***
ORIGIN_GRID_ID342 2.303558 0.207976 11.076 < 2e-16 ***
ORIGIN_GRID_ID363 3.541490 0.205147 17.263 < 2e-16 ***
ORIGIN_GRID_ID364 1.859894 0.206040 9.027 < 2e-16 ***
ORIGIN_GRID_ID383 3.971504 0.203673 19.499 < 2e-16 ***
ORIGIN_GRID_ID384 1.621288 0.209938 7.723 1.14e-14 ***
ORIGIN_GRID_ID385 0.075850 0.246362 0.308 0.758175
ORIGIN_GRID_ID404 4.060204 0.206271 19.684 < 2e-16 ***
ORIGIN_GRID_ID405 2.949080 0.207017 14.246 < 2e-16 ***
ORIGIN_GRID_ID406 4.576509 0.200772 22.795 < 2e-16 ***
ORIGIN_GRID_ID407 2.889594 0.203171 14.222 < 2e-16 ***
ORIGIN_GRID_ID408 3.753088 0.201532 18.623 < 2e-16 ***
ORIGIN_GRID_ID425 1.640635 0.226022 7.259 3.91e-13 ***
ORIGIN_GRID_ID426 2.198216 0.206027 10.670 < 2e-16 ***
ORIGIN_GRID_ID427 1.760576 0.203354 8.658 < 2e-16 ***
ORIGIN_GRID_ID428 2.740971 0.202742 13.519 < 2e-16 ***
ORIGIN_GRID_ID429 2.741840 0.202958 13.509 < 2e-16 ***
ORIGIN_GRID_ID446 2.663181 0.210094 12.676 < 2e-16 ***
ORIGIN_GRID_ID447 1.187757 0.217483 5.461 4.72e-08 ***
ORIGIN_GRID_ID448 1.291123 0.207199 6.231 4.63e-10 ***
ORIGIN_GRID_ID449 3.492405 0.201150 17.362 < 2e-16 ***
ORIGIN_GRID_ID450 2.581626 0.202064 12.776 < 2e-16 ***
ORIGIN_GRID_ID468 3.119345 0.203833 15.303 < 2e-16 ***
ORIGIN_GRID_ID469 1.595441 0.203656 7.834 4.73e-15 ***
ORIGIN_GRID_ID470 4.174883 0.200864 20.785 < 2e-16 ***
ORIGIN_GRID_ID471 3.875055 0.201577 19.224 < 2e-16 ***
ORIGIN_GRID_ID488 2.109279 0.214498 9.834 < 2e-16 ***
ORIGIN_GRID_ID489 -0.532859 0.334227 -1.594 0.110869
ORIGIN_GRID_ID490 3.011460 0.201840 14.920 < 2e-16 ***
ORIGIN_GRID_ID491 2.732878 0.201286 13.577 < 2e-16 ***
ORIGIN_GRID_ID493 -0.534743 0.286272 -1.868 0.061768 .
ORIGIN_GRID_ID494 3.171880 0.203728 15.569 < 2e-16 ***
ORIGIN_GRID_ID509 2.612063 0.206552 12.646 < 2e-16 ***
ORIGIN_GRID_ID510 2.932013 0.202838 14.455 < 2e-16 ***
ORIGIN_GRID_ID511 1.835579 0.202536 9.063 < 2e-16 ***
ORIGIN_GRID_ID512 4.353301 0.200767 21.683 < 2e-16 ***
ORIGIN_GRID_ID513 1.337046 0.207725 6.437 1.22e-10 ***
ORIGIN_GRID_ID514 2.464067 0.205874 11.969 < 2e-16 ***
ORIGIN_GRID_ID515 1.353045 0.227741 5.941 2.83e-09 ***
ORIGIN_GRID_ID530 2.104122 0.215353 9.771 < 2e-16 ***
ORIGIN_GRID_ID531 2.866790 0.203877 14.061 < 2e-16 ***
ORIGIN_GRID_ID532 2.168347 0.202820 10.691 < 2e-16 ***
ORIGIN_GRID_ID533 4.179935 0.200765 20.820 < 2e-16 ***
ORIGIN_GRID_ID534 4.437656 0.200798 22.100 < 2e-16 ***
ORIGIN_GRID_ID536 2.414633 0.205234 11.765 < 2e-16 ***
ORIGIN_GRID_ID537 0.839686 0.255578 3.285 0.001018 **
ORIGIN_GRID_ID538 0.240097 0.289839 0.828 0.407455
ORIGIN_GRID_ID551 1.602912 0.217117 7.383 1.55e-13 ***
ORIGIN_GRID_ID552 2.006913 0.207759 9.660 < 2e-16 ***
ORIGIN_GRID_ID553 1.376178 0.202586 6.793 1.10e-11 ***
ORIGIN_GRID_ID554 3.702082 0.200812 18.436 < 2e-16 ***
ORIGIN_GRID_ID555 3.395488 0.201433 16.857 < 2e-16 ***
ORIGIN_GRID_ID559 2.374589 0.215046 11.042 < 2e-16 ***
ORIGIN_GRID_ID560 2.179521 0.220709 9.875 < 2e-16 ***
ORIGIN_GRID_ID572 0.930227 0.250044 3.720 0.000199 ***
ORIGIN_GRID_ID573 2.449043 0.206517 11.859 < 2e-16 ***
ORIGIN_GRID_ID574 3.028890 0.217195 13.946 < 2e-16 ***
ORIGIN_GRID_ID575 5.845999 0.200688 29.130 < 2e-16 ***
ORIGIN_GRID_ID576 3.601911 0.200908 17.928 < 2e-16 ***
ORIGIN_GRID_ID578 -0.700894 0.286287 -2.448 0.014357 *
ORIGIN_GRID_ID582 1.878659 0.231562 8.113 4.94e-16 ***
ORIGIN_GRID_ID583 2.087270 0.236977 8.808 < 2e-16 ***
ORIGIN_GRID_ID584 3.186718 0.214036 14.889 < 2e-16 ***
ORIGIN_GRID_ID593 1.181990 0.229076 5.160 2.47e-07 ***
ORIGIN_GRID_ID594 2.150110 0.206511 10.412 < 2e-16 ***
ORIGIN_GRID_ID595 1.938354 0.202007 9.595 < 2e-16 ***
ORIGIN_GRID_ID596 3.273762 0.200866 16.298 < 2e-16 ***
ORIGIN_GRID_ID597 0.859463 0.222784 3.858 0.000114 ***
ORIGIN_GRID_ID603 1.542058 0.243218 6.340 2.29e-10 ***
ORIGIN_GRID_ID604 1.667273 0.246362 6.768 1.31e-11 ***
ORIGIN_GRID_ID615 1.042401 0.213613 4.880 1.06e-06 ***
ORIGIN_GRID_ID616 1.821217 0.204182 8.920 < 2e-16 ***
ORIGIN_GRID_ID617 0.901381 0.203996 4.419 9.93e-06 ***
ORIGIN_GRID_ID618 4.134139 0.200795 20.589 < 2e-16 ***
ORIGIN_GRID_ID620 0.648059 0.215116 3.013 0.002590 **
ORIGIN_GRID_ID637 1.255326 0.205561 6.107 1.02e-09 ***
ORIGIN_GRID_ID638 3.919690 0.200799 19.521 < 2e-16 ***
ORIGIN_GRID_ID657 2.744008 0.202635 13.542 < 2e-16 ***
ORIGIN_GRID_ID658 3.024581 0.201209 15.032 < 2e-16 ***
ORIGIN_GRID_ID659 3.302495 0.200957 16.434 < 2e-16 ***
ORIGIN_GRID_ID660 4.781681 0.200737 23.821 < 2e-16 ***
ORIGIN_GRID_ID662 4.970106 0.201019 24.725 < 2e-16 ***
ORIGIN_GRID_ID677 3.346259 0.203225 16.466 < 2e-16 ***
ORIGIN_GRID_ID678 0.859803 0.210575 4.083 4.44e-05 ***
ORIGIN_GRID_ID679 4.454319 0.200792 22.184 < 2e-16 ***
ORIGIN_GRID_ID680 4.482442 0.200773 22.326 < 2e-16 ***
ORIGIN_GRID_ID681 2.792304 0.201626 13.849 < 2e-16 ***
ORIGIN_GRID_ID699 2.825750 0.202457 13.957 < 2e-16 ***
ORIGIN_GRID_ID700 3.778720 0.200939 18.805 < 2e-16 ***
ORIGIN_GRID_ID701 2.997274 0.201156 14.900 < 2e-16 ***
ORIGIN_GRID_ID702 4.411907 0.200765 21.975 < 2e-16 ***
ORIGIN_GRID_ID704 1.551551 0.205518 7.549 4.37e-14 ***
ORIGIN_GRID_ID722 1.754517 0.202433 8.667 < 2e-16 ***
ORIGIN_GRID_ID725 1.490849 0.205672 7.249 4.21e-13 ***
ORIGIN_GRID_ID730 1.839398 0.219813 8.368 < 2e-16 ***
ORIGIN_GRID_ID741 2.462617 0.203082 12.126 < 2e-16 ***
ORIGIN_GRID_ID743 1.611156 0.202460 7.958 1.75e-15 ***
ORIGIN_GRID_ID744 3.893620 0.200838 19.387 < 2e-16 ***
ORIGIN_GRID_ID752 3.189676 0.205370 15.531 < 2e-16 ***
ORIGIN_GRID_ID761 2.969298 0.202899 14.634 < 2e-16 ***
ORIGIN_GRID_ID762 3.556429 0.201177 17.678 < 2e-16 ***
ORIGIN_GRID_ID763 0.906624 0.204449 4.434 9.23e-06 ***
ORIGIN_GRID_ID764 4.621023 0.200751 23.019 < 2e-16 ***
ORIGIN_GRID_ID765 3.099137 0.201377 15.390 < 2e-16 ***
ORIGIN_GRID_ID767 4.589513 0.200852 22.850 < 2e-16 ***
ORIGIN_GRID_ID772 3.030149 0.204234 14.837 < 2e-16 ***
ORIGIN_GRID_ID784 0.702544 0.205039 3.426 0.000612 ***
ORIGIN_GRID_ID785 3.472026 0.200860 17.286 < 2e-16 ***
ORIGIN_GRID_ID786 2.895112 0.201065 14.399 < 2e-16 ***
ORIGIN_GRID_ID787 3.450564 0.201255 17.145 < 2e-16 ***
ORIGIN_GRID_ID788 3.751928 0.201044 18.662 < 2e-16 ***
ORIGIN_GRID_ID789 2.415783 0.201843 11.969 < 2e-16 ***
ORIGIN_GRID_ID803 1.309239 0.211178 6.200 5.66e-10 ***
ORIGIN_GRID_ID804 4.310903 0.200872 21.461 < 2e-16 ***
ORIGIN_GRID_ID805 4.574353 0.200759 22.785 < 2e-16 ***
ORIGIN_GRID_ID806 3.608245 0.200861 17.964 < 2e-16 ***
ORIGIN_GRID_ID807 4.355740 0.200882 21.683 < 2e-16 ***
ORIGIN_GRID_ID808 2.432632 0.202448 12.016 < 2e-16 ***
ORIGIN_GRID_ID809 4.223608 0.200805 21.033 < 2e-16 ***
ORIGIN_GRID_ID810 3.473184 0.201026 17.277 < 2e-16 ***
ORIGIN_GRID_ID814 2.848679 0.204136 13.955 < 2e-16 ***
ORIGIN_GRID_ID824 2.267816 0.205671 11.026 < 2e-16 ***
ORIGIN_GRID_ID826 1.551546 0.202165 7.675 1.66e-14 ***
ORIGIN_GRID_ID827 3.768590 0.200838 18.764 < 2e-16 ***
ORIGIN_GRID_ID828 4.013035 0.200801 19.985 < 2e-16 ***
ORIGIN_GRID_ID829 3.760121 0.200930 18.714 < 2e-16 ***
ORIGIN_GRID_ID830 3.527319 0.201044 17.545 < 2e-16 ***
ORIGIN_GRID_ID831 5.364903 0.200736 26.726 < 2e-16 ***
ORIGIN_GRID_ID832 4.715522 0.200857 23.477 < 2e-16 ***
ORIGIN_GRID_ID835 1.152101 0.215536 5.345 9.03e-08 ***
ORIGIN_GRID_ID844 1.116259 0.220026 5.073 3.91e-07 ***
ORIGIN_GRID_ID846 3.590559 0.200941 17.869 < 2e-16 ***
ORIGIN_GRID_ID847 3.558329 0.200923 17.710 < 2e-16 ***
ORIGIN_GRID_ID848 3.400964 0.200906 16.928 < 2e-16 ***
ORIGIN_GRID_ID849 2.488234 0.201274 12.362 < 2e-16 ***
ORIGIN_GRID_ID850 3.841730 0.200872 19.125 < 2e-16 ***
ORIGIN_GRID_ID851 3.918855 0.200832 19.513 < 2e-16 ***
ORIGIN_GRID_ID852 3.374078 0.201017 16.785 < 2e-16 ***
ORIGIN_GRID_ID853 5.197150 0.200872 25.873 < 2e-16 ***
ORIGIN_GRID_ID854 1.780215 0.210666 8.450 < 2e-16 ***
ORIGIN_GRID_ID855 0.989249 0.217604 4.546 5.47e-06 ***
ORIGIN_GRID_ID856 3.054717 0.203399 15.018 < 2e-16 ***
ORIGIN_GRID_ID866 2.910102 0.202936 14.340 < 2e-16 ***
ORIGIN_GRID_ID867 2.656640 0.201501 13.184 < 2e-16 ***
ORIGIN_GRID_ID868 2.769032 0.201392 13.749 < 2e-16 ***
ORIGIN_GRID_ID869 3.937618 0.201126 19.578 < 2e-16 ***
ORIGIN_GRID_ID870 4.798575 0.200741 23.904 < 2e-16 ***
ORIGIN_GRID_ID871 4.673770 0.200881 23.266 < 2e-16 ***
ORIGIN_GRID_ID872 2.041861 0.201860 10.115 < 2e-16 ***
ORIGIN_GRID_ID873 2.444319 0.201470 12.132 < 2e-16 ***
ORIGIN_GRID_ID874 2.298458 0.201533 11.405 < 2e-16 ***
ORIGIN_GRID_ID875 1.311760 0.223216 5.877 4.19e-09 ***
ORIGIN_GRID_ID876 0.495542 0.216914 2.285 0.022341 *
ORIGIN_GRID_ID877 2.922516 0.202855 14.407 < 2e-16 ***
ORIGIN_GRID_ID887 2.308667 0.202034 11.427 < 2e-16 ***
ORIGIN_GRID_ID888 2.832555 0.201256 14.074 < 2e-16 ***
ORIGIN_GRID_ID889 0.701121 0.207677 3.376 0.000735 ***
ORIGIN_GRID_ID890 4.108861 0.200807 20.462 < 2e-16 ***
ORIGIN_GRID_ID891 2.703984 0.201897 13.393 < 2e-16 ***
ORIGIN_GRID_ID893 4.067116 0.200805 20.254 < 2e-16 ***
ORIGIN_GRID_ID894 1.770864 0.202292 8.754 < 2e-16 ***
ORIGIN_GRID_ID895 2.189446 0.202637 10.805 < 2e-16 ***
ORIGIN_GRID_ID896 0.844778 0.209778 4.027 5.65e-05 ***
ORIGIN_GRID_ID897 0.303290 0.211717 1.433 0.151992
ORIGIN_GRID_ID898 2.254591 0.204864 11.005 < 2e-16 ***
ORIGIN_GRID_ID908 3.201852 0.202461 15.815 < 2e-16 ***
ORIGIN_GRID_ID909 3.180087 0.200957 15.825 < 2e-16 ***
ORIGIN_GRID_ID910 0.340367 0.208729 1.631 0.102960
ORIGIN_GRID_ID911 3.292994 0.201077 16.377 < 2e-16 ***
ORIGIN_GRID_ID912 4.008323 0.200826 19.959 < 2e-16 ***
ORIGIN_GRID_ID915 3.698251 0.200864 18.412 < 2e-16 ***
ORIGIN_GRID_ID917 4.084933 0.201011 20.322 < 2e-16 ***
ORIGIN_GRID_ID918 1.101847 0.205563 5.360 8.32e-08 ***
ORIGIN_GRID_ID919 2.049900 0.202426 10.127 < 2e-16 ***
ORIGIN_GRID_ID928 2.502168 0.201972 12.389 < 2e-16 ***
ORIGIN_GRID_ID929 3.479352 0.200892 17.319 < 2e-16 ***
ORIGIN_GRID_ID930 4.620719 0.200745 23.018 < 2e-16 ***
ORIGIN_GRID_ID931 1.123790 0.205011 5.482 4.21e-08 ***
ORIGIN_GRID_ID932 1.743347 0.205123 8.499 < 2e-16 ***
ORIGIN_GRID_ID933 3.533230 0.201036 17.575 < 2e-16 ***
ORIGIN_GRID_ID934 0.652006 0.205949 3.166 0.001546 **
ORIGIN_GRID_ID935 5.346773 0.200728 26.637 < 2e-16 ***
ORIGIN_GRID_ID938 0.122820 0.271493 0.452 0.650989
ORIGIN_GRID_ID939 5.144208 0.200813 25.617 < 2e-16 ***
ORIGIN_GRID_ID940 0.483206 0.235049 2.056 0.039805 *
ORIGIN_GRID_ID949 2.703336 0.201614 13.408 < 2e-16 ***
ORIGIN_GRID_ID950 4.618563 0.200807 23.000 < 2e-16 ***
ORIGIN_GRID_ID951 5.006010 0.200734 24.939 < 2e-16 ***
ORIGIN_GRID_ID952 1.969034 0.203109 9.694 < 2e-16 ***
ORIGIN_GRID_ID953 2.892243 0.201563 14.349 < 2e-16 ***
ORIGIN_GRID_ID954 1.347099 0.203375 6.624 3.50e-11 ***
ORIGIN_GRID_ID955 3.969705 0.200885 19.761 < 2e-16 ***
ORIGIN_GRID_ID956 1.727555 0.202008 8.552 < 2e-16 ***
ORIGIN_GRID_ID957 3.780772 0.200930 18.816 < 2e-16 ***
ORIGIN_GRID_ID959 1.762459 0.212189 8.306 < 2e-16 ***
ORIGIN_GRID_ID961 0.667891 0.205650 3.248 0.001163 **
ORIGIN_GRID_ID970 3.094056 0.201090 15.386 < 2e-16 ***
ORIGIN_GRID_ID971 3.807367 0.200811 18.960 < 2e-16 ***
ORIGIN_GRID_ID972 3.537011 0.200880 17.608 < 2e-16 ***
ORIGIN_GRID_ID974 3.063720 0.201192 15.228 < 2e-16 ***
ORIGIN_GRID_ID975 2.400965 0.201640 11.907 < 2e-16 ***
ORIGIN_GRID_ID976 2.302625 0.201635 11.420 < 2e-16 ***
ORIGIN_GRID_ID977 4.080262 0.200813 20.319 < 2e-16 ***
ORIGIN_GRID_ID978 3.725375 0.201135 18.522 < 2e-16 ***
ORIGIN_GRID_ID982 0.978301 0.203494 4.808 1.53e-06 ***
ORIGIN_GRID_ID983 5.677083 0.200847 28.266 < 2e-16 ***
ORIGIN_GRID_ID991 3.337709 0.201115 16.596 < 2e-16 ***
ORIGIN_GRID_ID992 3.434327 0.200987 17.087 < 2e-16 ***
ORIGIN_GRID_ID993 2.419955 0.201239 12.025 < 2e-16 ***
ORIGIN_GRID_ID994 2.338692 0.201524 11.605 < 2e-16 ***
ORIGIN_GRID_ID995 4.045937 0.200852 20.144 < 2e-16 ***
ORIGIN_GRID_ID996 2.898338 0.201266 14.401 < 2e-16 ***
ORIGIN_GRID_ID997 1.811353 0.205424 8.818 < 2e-16 ***
ORIGIN_GRID_ID998 4.316033 0.200826 21.491 < 2e-16 ***
ORIGIN_GRID_ID999 4.049045 0.200945 20.150 < 2e-16 ***
ORIGIN_GRID_ID1001 1.911748 0.206480 9.259 < 2e-16 ***
ORIGIN_GRID_ID1003 4.377955 0.200818 21.801 < 2e-16 ***
ORIGIN_GRID_ID1004 4.376165 0.200833 21.790 < 2e-16 ***
ORIGIN_GRID_ID1011 1.863807 0.204040 9.135 < 2e-16 ***
ORIGIN_GRID_ID1012 2.830250 0.202110 14.004 < 2e-16 ***
ORIGIN_GRID_ID1013 2.396211 0.201652 11.883 < 2e-16 ***
ORIGIN_GRID_ID1014 2.444385 0.201512 12.130 < 2e-16 ***
ORIGIN_GRID_ID1015 1.727883 0.202401 8.537 < 2e-16 ***
ORIGIN_GRID_ID1016 3.995207 0.200875 19.889 < 2e-16 ***
ORIGIN_GRID_ID1018 3.009505 0.201689 14.922 < 2e-16 ***
ORIGIN_GRID_ID1019 4.740413 0.200850 23.602 < 2e-16 ***
ORIGIN_GRID_ID1023 2.863366 0.201610 14.202 < 2e-16 ***
ORIGIN_GRID_ID1024 3.966331 0.200895 19.743 < 2e-16 ***
ORIGIN_GRID_ID1025 1.128291 0.209035 5.398 6.75e-08 ***
ORIGIN_GRID_ID1033 2.817334 0.201417 13.988 < 2e-16 ***
ORIGIN_GRID_ID1034 3.343840 0.201034 16.633 < 2e-16 ***
ORIGIN_GRID_ID1035 3.533162 0.200963 17.581 < 2e-16 ***
ORIGIN_GRID_ID1036 3.595494 0.200966 17.891 < 2e-16 ***
ORIGIN_GRID_ID1037 3.471366 0.200922 17.277 < 2e-16 ***
ORIGIN_GRID_ID1043 3.595785 0.201875 17.812 < 2e-16 ***
ORIGIN_GRID_ID1045 4.018624 0.200839 20.009 < 2e-16 ***
ORIGIN_GRID_ID1046 3.977087 0.200924 19.794 < 2e-16 ***
ORIGIN_GRID_ID1053 3.389738 0.201124 16.854 < 2e-16 ***
ORIGIN_GRID_ID1054 2.571526 0.201481 12.763 < 2e-16 ***
ORIGIN_GRID_ID1055 3.776587 0.200906 18.798 < 2e-16 ***
ORIGIN_GRID_ID1056 2.885384 0.201270 14.336 < 2e-16 ***
ORIGIN_GRID_ID1064 1.128330 0.269416 4.188 2.81e-05 ***
ORIGIN_GRID_ID1066 4.073487 0.200831 20.283 < 2e-16 ***
ORIGIN_GRID_ID1067 -0.649224 0.264049 -2.459 0.013943 *
ORIGIN_GRID_ID1074 3.296879 0.201170 16.389 < 2e-16 ***
ORIGIN_GRID_ID1075 1.428480 0.203768 7.010 2.38e-12 ***
ORIGIN_GRID_ID1076 2.683152 0.201249 13.332 < 2e-16 ***
ORIGIN_GRID_ID1077 2.544610 0.201562 12.624 < 2e-16 ***
ORIGIN_GRID_ID1079 3.586317 0.200959 17.846 < 2e-16 ***
ORIGIN_GRID_ID1085 -0.003586 0.226537 -0.016 0.987370
ORIGIN_GRID_ID1087 3.001654 0.201062 14.929 < 2e-16 ***
ORIGIN_GRID_ID1088 1.753853 0.202047 8.680 < 2e-16 ***
ORIGIN_GRID_ID1094 1.034874 0.217037 4.768 1.86e-06 ***
ORIGIN_GRID_ID1095 1.586286 0.207776 7.635 2.26e-14 ***
ORIGIN_GRID_ID1096 2.277477 0.207172 10.993 < 2e-16 ***
ORIGIN_GRID_ID1097 4.282154 0.200799 21.326 < 2e-16 ***
ORIGIN_GRID_ID1098 1.877510 0.203170 9.241 < 2e-16 ***
ORIGIN_GRID_ID1099 3.339261 0.201018 16.612 < 2e-16 ***
ORIGIN_GRID_ID1105 4.663419 0.201697 23.121 < 2e-16 ***
ORIGIN_GRID_ID1106 -0.140596 0.249231 -0.564 0.572673
ORIGIN_GRID_ID1107 1.783932 0.204318 8.731 < 2e-16 ***
ORIGIN_GRID_ID1108 5.748131 0.200739 28.635 < 2e-16 ***
ORIGIN_GRID_ID1109 1.205677 0.206085 5.850 4.90e-09 ***
ORIGIN_GRID_ID1116 2.492596 0.201657 12.361 < 2e-16 ***
ORIGIN_GRID_ID1117 2.326362 0.202086 11.512 < 2e-16 ***
ORIGIN_GRID_ID1118 1.548970 0.203865 7.598 3.01e-14 ***
ORIGIN_GRID_ID1119 3.083149 0.201135 15.329 < 2e-16 ***
ORIGIN_GRID_ID1120 2.470297 0.202052 12.226 < 2e-16 ***
ORIGIN_GRID_ID1129 3.648215 0.200928 18.157 < 2e-16 ***
ORIGIN_GRID_ID1130 3.720444 0.200872 18.521 < 2e-16 ***
ORIGIN_GRID_ID1131 3.375911 0.201723 16.735 < 2e-16 ***
ORIGIN_GRID_ID1136 2.245324 0.201971 11.117 < 2e-16 ***
ORIGIN_GRID_ID1138 1.465439 0.204963 7.150 8.69e-13 ***
ORIGIN_GRID_ID1139 3.657184 0.200878 18.206 < 2e-16 ***
ORIGIN_GRID_ID1141 3.297340 0.201052 16.400 < 2e-16 ***
ORIGIN_GRID_ID1148 1.417082 0.211765 6.692 2.20e-11 ***
ORIGIN_GRID_ID1149 2.499491 0.202022 12.372 < 2e-16 ***
ORIGIN_GRID_ID1150 3.754423 0.200848 18.693 < 2e-16 ***
ORIGIN_GRID_ID1151 3.197872 0.201151 15.898 < 2e-16 ***
ORIGIN_GRID_ID1158 2.250044 0.201738 11.153 < 2e-16 ***
ORIGIN_GRID_ID1159 3.205485 0.200970 15.950 < 2e-16 ***
ORIGIN_GRID_ID1160 4.143610 0.200803 20.635 < 2e-16 ***
ORIGIN_GRID_ID1171 4.348061 0.200870 21.646 < 2e-16 ***
ORIGIN_GRID_ID1172 4.529457 0.200821 22.555 < 2e-16 ***
ORIGIN_GRID_ID1173 2.600586 0.202023 12.873 < 2e-16 ***
ORIGIN_GRID_ID1174 0.614292 0.320862 1.915 0.055555 .
ORIGIN_GRID_ID1178 2.985711 0.201131 14.845 < 2e-16 ***
ORIGIN_GRID_ID1179 3.426114 0.200927 17.052 < 2e-16 ***
ORIGIN_GRID_ID1180 4.025819 0.200807 20.048 < 2e-16 ***
ORIGIN_GRID_ID1181 3.034180 0.201030 15.093 < 2e-16 ***
ORIGIN_GRID_ID1183 2.480112 0.201642 12.300 < 2e-16 ***
ORIGIN_GRID_ID1190 1.313002 0.213091 6.162 7.20e-10 ***
ORIGIN_GRID_ID1192 3.659719 0.200970 18.210 < 2e-16 ***
ORIGIN_GRID_ID1193 3.577099 0.201019 17.795 < 2e-16 ***
ORIGIN_GRID_ID1194 2.783074 0.202226 13.762 < 2e-16 ***
ORIGIN_GRID_ID1200 2.810443 0.201175 13.970 < 2e-16 ***
ORIGIN_GRID_ID1201 3.377213 0.200930 16.808 < 2e-16 ***
ORIGIN_GRID_ID1203 3.634050 0.200940 18.085 < 2e-16 ***
ORIGIN_GRID_ID1204 2.585774 0.201453 12.836 < 2e-16 ***
ORIGIN_GRID_ID1211 3.032709 0.206153 14.711 < 2e-16 ***
ORIGIN_GRID_ID1214 3.986596 0.200903 19.843 < 2e-16 ***
ORIGIN_GRID_ID1215 1.509730 0.208648 7.236 4.63e-13 ***
ORIGIN_GRID_ID1216 2.276533 0.204743 11.119 < 2e-16 ***
ORIGIN_GRID_ID1220 3.692941 0.200878 18.384 < 2e-16 ***
ORIGIN_GRID_ID1221 3.530716 0.200860 17.578 < 2e-16 ***
ORIGIN_GRID_ID1222 3.094195 0.201521 15.354 < 2e-16 ***
ORIGIN_GRID_ID1223 2.436465 0.201538 12.089 < 2e-16 ***
ORIGIN_GRID_ID1224 2.748992 0.201298 13.656 < 2e-16 ***
ORIGIN_GRID_ID1231 1.546494 0.211465 7.313 2.61e-13 ***
ORIGIN_GRID_ID1232 2.469549 0.208969 11.818 < 2e-16 ***
ORIGIN_GRID_ID1235 1.944798 0.202246 9.616 < 2e-16 ***
ORIGIN_GRID_ID1236 3.151501 0.201739 15.622 < 2e-16 ***
ORIGIN_GRID_ID1241 2.474768 0.201272 12.296 < 2e-16 ***
ORIGIN_GRID_ID1242 2.809647 0.201088 13.972 < 2e-16 ***
ORIGIN_GRID_ID1243 3.601776 0.200857 17.932 < 2e-16 ***
ORIGIN_GRID_ID1246 3.351991 0.201008 16.676 < 2e-16 ***
ORIGIN_GRID_ID1256 2.801205 0.201376 13.910 < 2e-16 ***
ORIGIN_GRID_ID1257 4.000140 0.201026 19.899 < 2e-16 ***
ORIGIN_GRID_ID1258 3.283334 0.201712 16.277 < 2e-16 ***
ORIGIN_GRID_ID1262 2.177631 0.201439 10.810 < 2e-16 ***
ORIGIN_GRID_ID1263 3.804904 0.200806 18.948 < 2e-16 ***
ORIGIN_GRID_ID1264 2.668274 0.201321 13.254 < 2e-16 ***
ORIGIN_GRID_ID1265 2.748832 0.201314 13.654 < 2e-16 ***
ORIGIN_GRID_ID1266 3.157489 0.201160 15.696 < 2e-16 ***
ORIGIN_GRID_ID1267 2.682147 0.202119 13.270 < 2e-16 ***
ORIGIN_GRID_ID1272 0.041414 0.228818 0.181 0.856374
ORIGIN_GRID_ID1273 2.845194 0.201838 14.096 < 2e-16 ***
ORIGIN_GRID_ID1277 4.240653 0.200871 21.111 < 2e-16 ***
ORIGIN_GRID_ID1278 2.772115 0.201711 13.743 < 2e-16 ***
ORIGIN_GRID_ID1283 4.678272 0.200774 23.301 < 2e-16 ***
ORIGIN_GRID_ID1284 3.561677 0.200859 17.732 < 2e-16 ***
ORIGIN_GRID_ID1285 4.239596 0.200784 21.115 < 2e-16 ***
ORIGIN_GRID_ID1286 2.770589 0.201316 13.762 < 2e-16 ***
ORIGIN_GRID_ID1289 1.895509 0.204641 9.263 < 2e-16 ***
ORIGIN_GRID_ID1293 1.290384 0.214437 6.018 1.77e-09 ***
ORIGIN_GRID_ID1294 3.965507 0.201170 19.712 < 2e-16 ***
ORIGIN_GRID_ID1295 2.538581 0.202350 12.545 < 2e-16 ***
ORIGIN_GRID_ID1298 2.911451 0.201234 14.468 < 2e-16 ***
ORIGIN_GRID_ID1299 3.758335 0.201091 18.690 < 2e-16 ***
ORIGIN_GRID_ID1304 3.822799 0.200835 19.034 < 2e-16 ***
ORIGIN_GRID_ID1305 3.607170 0.200817 17.962 < 2e-16 ***
ORIGIN_GRID_ID1307 1.062269 0.204568 5.193 2.07e-07 ***
ORIGIN_GRID_ID1308 3.358097 0.200986 16.708 < 2e-16 ***
ORIGIN_GRID_ID1310 0.511621 0.229758 2.227 0.025962 *
ORIGIN_GRID_ID1316 1.124059 0.206352 5.447 5.11e-08 ***
ORIGIN_GRID_ID1317 1.973120 0.202211 9.758 < 2e-16 ***
ORIGIN_GRID_ID1318 1.096293 0.204308 5.366 8.06e-08 ***
ORIGIN_GRID_ID1319 4.621328 0.200826 23.012 < 2e-16 ***
ORIGIN_GRID_ID1320 3.231269 0.201538 16.033 < 2e-16 ***
ORIGIN_GRID_ID1325 1.511545 0.202188 7.476 7.66e-14 ***
ORIGIN_GRID_ID1326 3.523739 0.200848 17.544 < 2e-16 ***
ORIGIN_GRID_ID1327 3.441934 0.200858 17.136 < 2e-16 ***
ORIGIN_GRID_ID1328 2.786472 0.201045 13.860 < 2e-16 ***
ORIGIN_GRID_ID1329 3.095372 0.201247 15.381 < 2e-16 ***
ORIGIN_GRID_ID1330 2.792932 0.201565 13.856 < 2e-16 ***
ORIGIN_GRID_ID1331 -0.058683 0.273466 -0.215 0.830087
ORIGIN_GRID_ID1333 2.569335 0.201820 12.731 < 2e-16 ***
ORIGIN_GRID_ID1334 2.924932 0.201618 14.507 < 2e-16 ***
ORIGIN_GRID_ID1335 3.029507 0.201653 15.023 < 2e-16 ***
ORIGIN_GRID_ID1336 0.705797 0.230469 3.062 0.002195 **
ORIGIN_GRID_ID1337 0.449267 0.210640 2.133 0.032935 *
ORIGIN_GRID_ID1338 -0.275062 0.217795 -1.263 0.206610
ORIGIN_GRID_ID1339 4.830807 0.200785 24.060 < 2e-16 ***
ORIGIN_GRID_ID1340 3.592261 0.201041 17.868 < 2e-16 ***
ORIGIN_GRID_ID1341 -1.883624 0.735050 -2.563 0.010390 *
ORIGIN_GRID_ID1346 3.544281 0.200960 17.637 < 2e-16 ***
ORIGIN_GRID_ID1347 4.562273 0.200762 22.725 < 2e-16 ***
ORIGIN_GRID_ID1348 3.342539 0.200861 16.641 < 2e-16 ***
ORIGIN_GRID_ID1349 3.761202 0.200841 18.727 < 2e-16 ***
ORIGIN_GRID_ID1350 2.451132 0.201884 12.141 < 2e-16 ***
ORIGIN_GRID_ID1353 2.985933 0.201193 14.841 < 2e-16 ***
ORIGIN_GRID_ID1354 2.182178 0.202066 10.799 < 2e-16 ***
ORIGIN_GRID_ID1355 3.155038 0.201261 15.676 < 2e-16 ***
ORIGIN_GRID_ID1357 1.345471 0.205836 6.537 6.29e-11 ***
ORIGIN_GRID_ID1358 3.287597 0.201121 16.346 < 2e-16 ***
ORIGIN_GRID_ID1359 3.372024 0.200975 16.778 < 2e-16 ***
ORIGIN_GRID_ID1360 3.236554 0.201028 16.100 < 2e-16 ***
ORIGIN_GRID_ID1361 4.227125 0.200913 21.040 < 2e-16 ***
ORIGIN_GRID_ID1362 0.914584 0.218176 4.192 2.77e-05 ***
ORIGIN_GRID_ID1368 2.548975 0.201118 12.674 < 2e-16 ***
ORIGIN_GRID_ID1369 2.108182 0.201256 10.475 < 2e-16 ***
ORIGIN_GRID_ID1370 4.247267 0.200760 21.156 < 2e-16 ***
ORIGIN_GRID_ID1371 2.742516 0.201330 13.622 < 2e-16 ***
ORIGIN_GRID_ID1372 1.428398 0.202941 7.038 1.94e-12 ***
ORIGIN_GRID_ID1373 0.774690 0.209032 3.706 0.000210 ***
ORIGIN_GRID_ID1374 2.178583 0.201650 10.804 < 2e-16 ***
ORIGIN_GRID_ID1375 3.403303 0.201223 16.913 < 2e-16 ***
ORIGIN_GRID_ID1376 2.596830 0.202088 12.850 < 2e-16 ***
ORIGIN_GRID_ID1379 0.714957 0.210280 3.400 0.000674 ***
ORIGIN_GRID_ID1380 4.740520 0.200779 23.611 < 2e-16 ***
ORIGIN_GRID_ID1381 4.599932 0.200801 22.908 < 2e-16 ***
ORIGIN_GRID_ID1382 3.775258 0.201022 18.780 < 2e-16 ***
ORIGIN_GRID_ID1383 1.243900 0.205266 6.060 1.36e-09 ***
ORIGIN_GRID_ID1388 2.968417 0.201008 14.768 < 2e-16 ***
ORIGIN_GRID_ID1389 2.497907 0.201078 12.423 < 2e-16 ***
ORIGIN_GRID_ID1390 2.983480 0.200918 14.849 < 2e-16 ***
ORIGIN_GRID_ID1391 2.909435 0.200999 14.475 < 2e-16 ***
ORIGIN_GRID_ID1392 2.632792 0.201832 13.044 < 2e-16 ***
ORIGIN_GRID_ID1393 1.275922 0.202848 6.290 3.17e-10 ***
ORIGIN_GRID_ID1394 3.331846 0.200956 16.580 < 2e-16 ***
ORIGIN_GRID_ID1395 3.332981 0.200956 16.586 < 2e-16 ***
ORIGIN_GRID_ID1396 3.910177 0.200882 19.465 < 2e-16 ***
ORIGIN_GRID_ID1397 3.617057 0.201020 17.993 < 2e-16 ***
ORIGIN_GRID_ID1398 2.738891 0.202016 13.558 < 2e-16 ***
ORIGIN_GRID_ID1400 2.965819 0.201370 14.728 < 2e-16 ***
ORIGIN_GRID_ID1401 3.995759 0.200833 19.896 < 2e-16 ***
ORIGIN_GRID_ID1402 4.106543 0.200864 20.444 < 2e-16 ***
ORIGIN_GRID_ID1404 4.301896 0.201890 21.308 < 2e-16 ***
ORIGIN_GRID_ID1410 2.745743 0.201002 13.660 < 2e-16 ***
ORIGIN_GRID_ID1411 2.642278 0.201044 13.143 < 2e-16 ***
ORIGIN_GRID_ID1412 3.974488 0.200772 19.796 < 2e-16 ***
ORIGIN_GRID_ID1413 3.652160 0.200841 18.184 < 2e-16 ***
ORIGIN_GRID_ID1414 2.882700 0.201000 14.342 < 2e-16 ***
ORIGIN_GRID_ID1415 2.578323 0.201207 12.814 < 2e-16 ***
ORIGIN_GRID_ID1416 2.659550 0.201177 13.220 < 2e-16 ***
ORIGIN_GRID_ID1417 3.160225 0.200963 15.725 < 2e-16 ***
ORIGIN_GRID_ID1418 3.688024 0.200894 18.358 < 2e-16 ***
ORIGIN_GRID_ID1419 3.118483 0.201163 15.502 < 2e-16 ***
ORIGIN_GRID_ID1422 3.735850 0.201007 18.586 < 2e-16 ***
ORIGIN_GRID_ID1423 4.669421 0.200831 23.251 < 2e-16 ***
ORIGIN_GRID_ID1430 3.440390 0.200925 17.123 < 2e-16 ***
ORIGIN_GRID_ID1431 4.649363 0.200745 23.161 < 2e-16 ***
ORIGIN_GRID_ID1432 3.668689 0.200794 18.271 < 2e-16 ***
ORIGIN_GRID_ID1433 2.021039 0.202117 9.999 < 2e-16 ***
ORIGIN_GRID_ID1434 3.942837 0.200814 19.634 < 2e-16 ***
ORIGIN_GRID_ID1435 3.435677 0.200857 17.105 < 2e-16 ***
ORIGIN_GRID_ID1436 1.191392 0.203410 5.857 4.71e-09 ***
ORIGIN_GRID_ID1437 3.846639 0.200839 19.153 < 2e-16 ***
ORIGIN_GRID_ID1438 4.034113 0.200794 20.091 < 2e-16 ***
ORIGIN_GRID_ID1439 4.218384 0.200816 21.006 < 2e-16 ***
ORIGIN_GRID_ID1440 1.815739 0.203259 8.933 < 2e-16 ***
ORIGIN_GRID_ID1442 3.254074 0.201318 16.164 < 2e-16 ***
ORIGIN_GRID_ID1443 4.518701 0.200861 22.497 < 2e-16 ***
ORIGIN_GRID_ID1444 4.064613 0.201126 20.209 < 2e-16 ***
ORIGIN_GRID_ID1452 3.273383 0.200890 16.294 < 2e-16 ***
ORIGIN_GRID_ID1453 3.155075 0.200866 15.707 < 2e-16 ***
ORIGIN_GRID_ID1454 2.661547 0.201308 13.221 < 2e-16 ***
ORIGIN_GRID_ID1455 2.815880 0.201136 14.000 < 2e-16 ***
ORIGIN_GRID_ID1456 3.651559 0.200855 18.180 < 2e-16 ***
ORIGIN_GRID_ID1457 3.775644 0.200832 18.800 < 2e-16 ***
ORIGIN_GRID_ID1458 4.676697 0.200758 23.295 < 2e-16 ***
ORIGIN_GRID_ID1459 3.410560 0.200880 16.978 < 2e-16 ***
ORIGIN_GRID_ID1460 3.366526 0.200905 16.757 < 2e-16 ***
ORIGIN_GRID_ID1461 2.354361 0.202066 11.651 < 2e-16 ***
ORIGIN_GRID_ID1464 4.597682 0.200870 22.889 < 2e-16 ***
ORIGIN_GRID_ID1465 4.252461 0.200993 21.157 < 2e-16 ***
ORIGIN_GRID_ID1472 1.658857 0.202360 8.198 2.45e-16 ***
ORIGIN_GRID_ID1473 2.520009 0.201098 12.531 < 2e-16 ***
ORIGIN_GRID_ID1474 3.914674 0.200768 19.499 < 2e-16 ***
ORIGIN_GRID_ID1475 4.494213 0.200758 22.386 < 2e-16 ***
ORIGIN_GRID_ID1476 3.202442 0.200964 15.935 < 2e-16 ***
ORIGIN_GRID_ID1477 4.973920 0.200730 24.779 < 2e-16 ***
ORIGIN_GRID_ID1478 2.663100 0.201069 13.245 < 2e-16 ***
ORIGIN_GRID_ID1479 2.898185 0.200995 14.419 < 2e-16 ***
ORIGIN_GRID_ID1480 5.068683 0.200735 25.251 < 2e-16 ***
ORIGIN_GRID_ID1481 2.048608 0.201812 10.151 < 2e-16 ***
ORIGIN_GRID_ID1482 2.256917 0.202437 11.149 < 2e-16 ***
ORIGIN_GRID_ID1485 4.052719 0.201018 20.161 < 2e-16 ***
ORIGIN_GRID_ID1494 2.337873 0.201731 11.589 < 2e-16 ***
ORIGIN_GRID_ID1495 3.055608 0.200893 15.210 < 2e-16 ***
ORIGIN_GRID_ID1496 4.394465 0.200743 21.891 < 2e-16 ***
ORIGIN_GRID_ID1497 3.900522 0.200830 19.422 < 2e-16 ***
ORIGIN_GRID_ID1498 3.776493 0.200822 18.805 < 2e-16 ***
ORIGIN_GRID_ID1499 3.896382 0.200800 19.404 < 2e-16 ***
ORIGIN_GRID_ID1500 3.768129 0.200956 18.751 < 2e-16 ***
ORIGIN_GRID_ID1501 4.069857 0.200793 20.269 < 2e-16 ***
ORIGIN_GRID_ID1502 3.542980 0.200889 17.637 < 2e-16 ***
ORIGIN_GRID_ID1506 -0.368475 0.258118 -1.428 0.153424
ORIGIN_GRID_ID1514 -2.061341 1.020146 -2.021 0.043318 *
ORIGIN_GRID_ID1515 2.249999 0.201723 11.154 < 2e-16 ***
ORIGIN_GRID_ID1516 3.878960 0.200786 19.319 < 2e-16 ***
ORIGIN_GRID_ID1517 3.393469 0.200886 16.892 < 2e-16 ***
ORIGIN_GRID_ID1518 3.130436 0.201009 15.574 < 2e-16 ***
ORIGIN_GRID_ID1519 3.735949 0.200924 18.594 < 2e-16 ***
ORIGIN_GRID_ID1520 2.504435 0.201157 12.450 < 2e-16 ***
ORIGIN_GRID_ID1521 1.331045 0.202585 6.570 5.02e-11 ***
ORIGIN_GRID_ID1522 4.159405 0.200804 20.714 < 2e-16 ***
ORIGIN_GRID_ID1523 3.057263 0.202137 15.125 < 2e-16 ***
ORIGIN_GRID_ID1524 2.995179 0.201569 14.859 < 2e-16 ***
ORIGIN_GRID_ID1527 2.156378 0.204391 10.550 < 2e-16 ***
ORIGIN_GRID_ID1535 3.860376 0.204133 18.911 < 2e-16 ***
ORIGIN_GRID_ID1536 2.567258 0.201775 12.723 < 2e-16 ***
ORIGIN_GRID_ID1537 2.756854 0.201056 13.712 < 2e-16 ***
ORIGIN_GRID_ID1538 3.506530 0.200821 17.461 < 2e-16 ***
ORIGIN_GRID_ID1539 3.490153 0.200831 17.379 < 2e-16 ***
ORIGIN_GRID_ID1540 3.495342 0.200861 17.402 < 2e-16 ***
ORIGIN_GRID_ID1541 4.573175 0.200926 22.760 < 2e-16 ***
ORIGIN_GRID_ID1542 1.980200 0.202287 9.789 < 2e-16 ***
ORIGIN_GRID_ID1543 2.460968 0.204227 12.050 < 2e-16 ***
ORIGIN_GRID_ID1544 3.466967 0.201090 17.241 < 2e-16 ***
ORIGIN_GRID_ID1547 1.166651 0.212934 5.479 4.28e-08 ***
ORIGIN_GRID_ID1556 2.564775 0.211306 12.138 < 2e-16 ***
ORIGIN_GRID_ID1557 2.720613 0.201659 13.491 < 2e-16 ***
ORIGIN_GRID_ID1558 1.666100 0.203202 8.199 2.42e-16 ***
ORIGIN_GRID_ID1559 3.822149 0.200793 19.035 < 2e-16 ***
ORIGIN_GRID_ID1560 4.123395 0.200782 20.537 < 2e-16 ***
ORIGIN_GRID_ID1561 3.628364 0.200931 18.058 < 2e-16 ***
ORIGIN_GRID_ID1562 1.454971 0.202752 7.176 7.17e-13 ***
ORIGIN_GRID_ID1563 2.676457 0.201133 13.307 < 2e-16 ***
ORIGIN_GRID_ID1564 2.064364 0.201809 10.229 < 2e-16 ***
ORIGIN_GRID_ID1565 1.984888 0.202192 9.817 < 2e-16 ***
ORIGIN_GRID_ID1566 1.714536 0.203428 8.428 < 2e-16 ***
ORIGIN_GRID_ID1567 0.077656 0.237562 0.327 0.743752
ORIGIN_GRID_ID1568 1.338448 0.211426 6.331 2.44e-10 ***
ORIGIN_GRID_ID1578 0.371932 0.257873 1.442 0.149216
ORIGIN_GRID_ID1580 2.616697 0.201765 12.969 < 2e-16 ***
ORIGIN_GRID_ID1581 1.206609 0.202349 5.963 2.48e-09 ***
ORIGIN_GRID_ID1582 3.741763 0.200812 18.633 < 2e-16 ***
ORIGIN_GRID_ID1583 1.979011 0.204387 9.683 < 2e-16 ***
ORIGIN_GRID_ID1584 2.190427 0.201577 10.866 < 2e-16 ***
ORIGIN_GRID_ID1585 3.780112 0.200951 18.811 < 2e-16 ***
ORIGIN_GRID_ID1586 2.054309 0.201886 10.176 < 2e-16 ***
ORIGIN_GRID_ID1589 0.636414 0.218803 2.909 0.003630 **
ORIGIN_GRID_ID1590 1.036437 0.217227 4.771 1.83e-06 ***
ORIGIN_GRID_ID1600 3.926826 0.201430 19.495 < 2e-16 ***
ORIGIN_GRID_ID1601 3.030491 0.200927 15.083 < 2e-16 ***
ORIGIN_GRID_ID1602 3.419019 0.200927 17.016 < 2e-16 ***
ORIGIN_GRID_ID1603 3.956147 0.200818 19.700 < 2e-16 ***
ORIGIN_GRID_ID1604 2.572191 0.201137 12.788 < 2e-16 ***
ORIGIN_GRID_ID1605 3.714125 0.200828 18.494 < 2e-16 ***
ORIGIN_GRID_ID1606 3.517100 0.201302 17.472 < 2e-16 ***
ORIGIN_GRID_ID1607 2.256940 0.201568 11.197 < 2e-16 ***
ORIGIN_GRID_ID1608 4.165560 0.200881 20.736 < 2e-16 ***
ORIGIN_GRID_ID1609 3.876030 0.201003 19.283 < 2e-16 ***
ORIGIN_GRID_ID1610 1.066646 0.221694 4.811 1.50e-06 ***
ORIGIN_GRID_ID1622 3.287509 0.201918 16.281 < 2e-16 ***
ORIGIN_GRID_ID1623 3.788155 0.200807 18.865 < 2e-16 ***
ORIGIN_GRID_ID1624 2.966235 0.201105 14.750 < 2e-16 ***
ORIGIN_GRID_ID1625 3.679417 0.200879 18.317 < 2e-16 ***
ORIGIN_GRID_ID1626 5.048977 0.200738 25.152 < 2e-16 ***
ORIGIN_GRID_ID1627 2.712107 0.201098 13.486 < 2e-16 ***
ORIGIN_GRID_ID1628 4.296761 0.200799 21.398 < 2e-16 ***
ORIGIN_GRID_ID1629 2.927983 0.201312 14.545 < 2e-16 ***
ORIGIN_GRID_ID1630 3.102318 0.201247 15.415 < 2e-16 ***
ORIGIN_GRID_ID1631 0.250785 0.222420 1.128 0.259521
ORIGIN_GRID_ID1642 1.501408 0.205470 7.307 2.73e-13 ***
ORIGIN_GRID_ID1643 3.607064 0.200836 17.960 < 2e-16 ***
ORIGIN_GRID_ID1644 1.916449 0.202569 9.461 < 2e-16 ***
ORIGIN_GRID_ID1645 3.199413 0.200990 15.918 < 2e-16 ***
ORIGIN_GRID_ID1646 2.529382 0.201499 12.553 < 2e-16 ***
ORIGIN_GRID_ID1647 3.456787 0.200857 17.210 < 2e-16 ***
ORIGIN_GRID_ID1648 3.505673 0.200882 17.451 < 2e-16 ***
ORIGIN_GRID_ID1649 4.058225 0.200833 20.207 < 2e-16 ***
ORIGIN_GRID_ID1650 4.084533 0.200935 20.328 < 2e-16 ***
ORIGIN_GRID_ID1664 0.024223 0.228873 0.106 0.915713
ORIGIN_GRID_ID1665 4.010963 0.200792 19.976 < 2e-16 ***
ORIGIN_GRID_ID1666 2.962799 0.200996 14.741 < 2e-16 ***
ORIGIN_GRID_ID1667 3.482875 0.201446 17.289 < 2e-16 ***
ORIGIN_GRID_ID1668 3.496059 0.200880 17.404 < 2e-16 ***
ORIGIN_GRID_ID1670 4.183733 0.200793 20.836 < 2e-16 ***
ORIGIN_GRID_ID1671 4.458824 0.200984 22.185 < 2e-16 ***
ORIGIN_GRID_ID1672 3.695710 0.201087 18.379 < 2e-16 ***
ORIGIN_GRID_ID1684 2.779402 0.201859 13.769 < 2e-16 ***
ORIGIN_GRID_ID1685 3.478807 0.200888 17.317 < 2e-16 ***
ORIGIN_GRID_ID1686 3.491736 0.200885 17.382 < 2e-16 ***
ORIGIN_GRID_ID1687 3.203165 0.201222 15.919 < 2e-16 ***
ORIGIN_GRID_ID1688 2.872362 0.201077 14.285 < 2e-16 ***
ORIGIN_GRID_ID1689 2.285206 0.201440 11.344 < 2e-16 ***
ORIGIN_GRID_ID1690 2.668243 0.201253 13.258 < 2e-16 ***
ORIGIN_GRID_ID1691 3.668184 0.200874 18.261 < 2e-16 ***
ORIGIN_GRID_ID1692 3.034351 0.201388 15.067 < 2e-16 ***
ORIGIN_GRID_ID1706 3.397994 0.200991 16.906 < 2e-16 ***
ORIGIN_GRID_ID1707 3.262416 0.200887 16.240 < 2e-16 ***
ORIGIN_GRID_ID1708 3.730878 0.200847 18.576 < 2e-16 ***
ORIGIN_GRID_ID1709 3.055182 0.201041 15.197 < 2e-16 ***
ORIGIN_GRID_ID1710 3.845814 0.200863 19.146 < 2e-16 ***
ORIGIN_GRID_ID1711 4.582363 0.200779 22.823 < 2e-16 ***
ORIGIN_GRID_ID1712 4.344388 0.200772 21.638 < 2e-16 ***
ORIGIN_GRID_ID1713 1.505968 0.202478 7.438 1.02e-13 ***
ORIGIN_GRID_ID1714 4.270567 0.200865 21.261 < 2e-16 ***
ORIGIN_GRID_ID1726 -0.658095 0.538787 -1.221 0.221921
ORIGIN_GRID_ID1727 3.344240 0.200934 16.643 < 2e-16 ***
ORIGIN_GRID_ID1728 4.045467 0.200798 20.147 < 2e-16 ***
ORIGIN_GRID_ID1729 3.118090 0.200980 15.514 < 2e-16 ***
ORIGIN_GRID_ID1730 1.606139 0.203090 7.909 2.61e-15 ***
ORIGIN_GRID_ID1731 3.624423 0.200890 18.042 < 2e-16 ***
ORIGIN_GRID_ID1732 3.843422 0.200811 19.139 < 2e-16 ***
ORIGIN_GRID_ID1733 3.378981 0.200892 16.820 < 2e-16 ***
ORIGIN_GRID_ID1734 3.678938 0.200872 18.315 < 2e-16 ***
ORIGIN_GRID_ID1735 4.634392 0.201198 23.034 < 2e-16 ***
ORIGIN_GRID_ID1748 2.725355 0.201167 13.548 < 2e-16 ***
ORIGIN_GRID_ID1749 4.234009 0.200775 21.088 < 2e-16 ***
ORIGIN_GRID_ID1750 2.935373 0.200985 14.605 < 2e-16 ***
ORIGIN_GRID_ID1751 2.129876 0.201847 10.552 < 2e-16 ***
ORIGIN_GRID_ID1753 3.884313 0.200836 19.341 < 2e-16 ***
ORIGIN_GRID_ID1754 4.706461 0.200754 23.444 < 2e-16 ***
ORIGIN_GRID_ID1755 3.811646 0.200830 18.979 < 2e-16 ***
ORIGIN_GRID_ID1756 3.445505 0.200929 17.148 < 2e-16 ***
ORIGIN_GRID_ID1757 0.722619 0.210756 3.429 0.000606 ***
ORIGIN_GRID_ID1768 0.043815 0.248138 0.177 0.859842
ORIGIN_GRID_ID1769 3.077260 0.200955 15.313 < 2e-16 ***
ORIGIN_GRID_ID1770 3.842490 0.200969 19.120 < 2e-16 ***
ORIGIN_GRID_ID1771 2.536828 0.201370 12.598 < 2e-16 ***
ORIGIN_GRID_ID1772 2.982633 0.203278 14.673 < 2e-16 ***
ORIGIN_GRID_ID1774 3.671483 0.200851 18.280 < 2e-16 ***
ORIGIN_GRID_ID1775 3.180549 0.200954 15.827 < 2e-16 ***
ORIGIN_GRID_ID1776 4.876465 0.200753 24.291 < 2e-16 ***
ORIGIN_GRID_ID1777 3.779880 0.200898 18.815 < 2e-16 ***
ORIGIN_GRID_ID1778 3.455546 0.201995 17.107 < 2e-16 ***
ORIGIN_GRID_ID1790 4.228895 0.200808 21.059 < 2e-16 ***
ORIGIN_GRID_ID1791 3.920931 0.200843 19.522 < 2e-16 ***
ORIGIN_GRID_ID1792 3.329349 0.201090 16.557 < 2e-16 ***
ORIGIN_GRID_ID1793 2.802904 0.201270 13.926 < 2e-16 ***
ORIGIN_GRID_ID1794 2.277764 0.209917 10.851 < 2e-16 ***
ORIGIN_GRID_ID1795 0.456906 0.210073 2.175 0.029632 *
ORIGIN_GRID_ID1796 3.867216 0.200861 19.253 < 2e-16 ***
ORIGIN_GRID_ID1797 3.865960 0.200830 19.250 < 2e-16 ***
ORIGIN_GRID_ID1798 3.707323 0.200852 18.458 < 2e-16 ***
ORIGIN_GRID_ID1799 2.768001 0.201357 13.747 < 2e-16 ***
ORIGIN_GRID_ID1800 2.040919 0.205294 9.941 < 2e-16 ***
ORIGIN_GRID_ID1811 3.354071 0.200930 16.693 < 2e-16 ***
ORIGIN_GRID_ID1812 4.377137 0.200768 21.802 < 2e-16 ***
ORIGIN_GRID_ID1813 3.784317 0.200843 18.842 < 2e-16 ***
ORIGIN_GRID_ID1817 3.493848 0.200999 17.382 < 2e-16 ***
ORIGIN_GRID_ID1818 3.632474 0.200867 18.084 < 2e-16 ***
ORIGIN_GRID_ID1819 4.800205 0.200768 23.909 < 2e-16 ***
ORIGIN_GRID_ID1820 1.507334 0.206273 7.307 2.72e-13 ***
ORIGIN_GRID_ID1832 4.672635 0.200775 23.273 < 2e-16 ***
ORIGIN_GRID_ID1833 3.185312 0.200951 15.851 < 2e-16 ***
ORIGIN_GRID_ID1834 3.221212 0.200938 16.031 < 2e-16 ***
ORIGIN_GRID_ID1835 2.517638 0.201383 12.502 < 2e-16 ***
ORIGIN_GRID_ID1837 1.696483 0.225683 7.517 5.60e-14 ***
ORIGIN_GRID_ID1839 3.324012 0.201074 16.531 < 2e-16 ***
ORIGIN_GRID_ID1840 4.744907 0.200767 23.634 < 2e-16 ***
ORIGIN_GRID_ID1841 2.369533 0.202506 11.701 < 2e-16 ***
ORIGIN_GRID_ID1842 4.987706 0.201462 24.758 < 2e-16 ***
ORIGIN_GRID_ID1853 3.334897 0.200902 16.600 < 2e-16 ***
ORIGIN_GRID_ID1854 3.703343 0.200860 18.437 < 2e-16 ***
ORIGIN_GRID_ID1855 3.846962 0.200868 19.152 < 2e-16 ***
ORIGIN_GRID_ID1858 2.390289 0.204576 11.684 < 2e-16 ***
ORIGIN_GRID_ID1860 4.170400 0.201430 20.704 < 2e-16 ***
ORIGIN_GRID_ID1861 3.708871 0.200912 18.460 < 2e-16 ***
ORIGIN_GRID_ID1874 3.562343 0.200981 17.725 < 2e-16 ***
ORIGIN_GRID_ID1875 1.816325 0.202295 8.979 < 2e-16 ***
ORIGIN_GRID_ID1876 3.883758 0.201909 19.235 < 2e-16 ***
ORIGIN_GRID_ID1877 3.524302 0.200920 17.541 < 2e-16 ***
ORIGIN_GRID_ID1880 1.392168 0.213104 6.533 6.46e-11 ***
ORIGIN_GRID_ID1882 3.815530 0.200911 18.991 < 2e-16 ***
ORIGIN_GRID_ID1883 3.595558 0.201696 17.827 < 2e-16 ***
ORIGIN_GRID_ID1895 3.612127 0.200888 17.981 < 2e-16 ***
ORIGIN_GRID_ID1896 2.974148 0.201034 14.794 < 2e-16 ***
ORIGIN_GRID_ID1897 2.984682 0.201185 14.836 < 2e-16 ***
ORIGIN_GRID_ID1898 -0.177099 0.226190 -0.783 0.433647
ORIGIN_GRID_ID1901 1.011275 0.220985 4.576 4.73e-06 ***
ORIGIN_GRID_ID1903 3.121060 0.201604 15.481 < 2e-16 ***
ORIGIN_GRID_ID1916 0.666841 0.212936 3.132 0.001738 **
ORIGIN_GRID_ID1917 2.824856 0.201140 14.044 < 2e-16 ***
ORIGIN_GRID_ID1918 3.635398 0.200972 18.089 < 2e-16 ***
ORIGIN_GRID_ID1919 3.595250 0.200916 17.894 < 2e-16 ***
ORIGIN_GRID_ID1922 1.935932 0.207711 9.320 < 2e-16 ***
ORIGIN_GRID_ID1924 3.351922 0.201558 16.630 < 2e-16 ***
ORIGIN_GRID_ID1937 3.255359 0.201034 16.193 < 2e-16 ***
ORIGIN_GRID_ID1938 3.720567 0.200841 18.525 < 2e-16 ***
ORIGIN_GRID_ID1939 3.873304 0.200879 19.282 < 2e-16 ***
ORIGIN_GRID_ID1942 1.467514 0.209761 6.996 2.63e-12 ***
ORIGIN_GRID_ID1958 0.187070 0.280637 0.667 0.505034
ORIGIN_GRID_ID1959 2.911420 0.201186 14.471 < 2e-16 ***
ORIGIN_GRID_ID1960 5.362048 0.200729 26.713 < 2e-16 ***
ORIGIN_GRID_ID1961 2.908911 0.201165 14.460 < 2e-16 ***
ORIGIN_GRID_ID1962 3.728505 0.200903 18.559 < 2e-16 ***
ORIGIN_GRID_ID1964 1.674884 0.210803 7.945 1.94e-15 ***
ORIGIN_GRID_ID1979 3.014098 0.201196 14.981 < 2e-16 ***
ORIGIN_GRID_ID1980 1.118102 0.202625 5.518 3.43e-08 ***
ORIGIN_GRID_ID1981 3.343982 0.200898 16.645 < 2e-16 ***
ORIGIN_GRID_ID1982 2.905788 0.201619 14.412 < 2e-16 ***
ORIGIN_GRID_ID1983 3.758317 0.200890 18.708 < 2e-16 ***
ORIGIN_GRID_ID1984 2.613769 0.201331 12.982 < 2e-16 ***
ORIGIN_GRID_ID1985 2.943207 0.201207 14.628 < 2e-16 ***
ORIGIN_GRID_ID2001 3.357973 0.200966 16.709 < 2e-16 ***
ORIGIN_GRID_ID2002 3.724212 0.200819 18.545 < 2e-16 ***
ORIGIN_GRID_ID2003 3.656247 0.200873 18.202 < 2e-16 ***
ORIGIN_GRID_ID2004 4.342898 0.200807 21.627 < 2e-16 ***
ORIGIN_GRID_ID2005 3.676802 0.200887 18.303 < 2e-16 ***
ORIGIN_GRID_ID2006 3.133529 0.201102 15.582 < 2e-16 ***
ORIGIN_GRID_ID2007 1.594045 0.204224 7.805 5.93e-15 ***
ORIGIN_GRID_ID2022 3.833646 0.200950 19.078 < 2e-16 ***
ORIGIN_GRID_ID2023 4.028526 0.200811 20.061 < 2e-16 ***
ORIGIN_GRID_ID2024 3.598206 0.200855 17.914 < 2e-16 ***
ORIGIN_GRID_ID2025 3.181459 0.200913 15.835 < 2e-16 ***
ORIGIN_GRID_ID2026 1.875297 0.202045 9.282 < 2e-16 ***
ORIGIN_GRID_ID2027 4.128194 0.200843 20.554 < 2e-16 ***
ORIGIN_GRID_ID2043 3.040594 0.201185 15.113 < 2e-16 ***
ORIGIN_GRID_ID2044 3.517533 0.200880 17.511 < 2e-16 ***
ORIGIN_GRID_ID2045 0.955581 0.216409 4.416 1.01e-05 ***
ORIGIN_GRID_ID2046 4.062298 0.200781 20.233 < 2e-16 ***
ORIGIN_GRID_ID2047 3.123409 0.200986 15.540 < 2e-16 ***
ORIGIN_GRID_ID2048 3.423708 0.200917 17.040 < 2e-16 ***
ORIGIN_GRID_ID2049 2.486466 0.202633 12.271 < 2e-16 ***
ORIGIN_GRID_ID2064 3.554736 0.200939 17.691 < 2e-16 ***
ORIGIN_GRID_ID2065 2.664415 0.201171 13.245 < 2e-16 ***
ORIGIN_GRID_ID2066 2.017417 0.203452 9.916 < 2e-16 ***
ORIGIN_GRID_ID2067 5.298351 0.200733 26.395 < 2e-16 ***
ORIGIN_GRID_ID2068 2.961707 0.201238 14.717 < 2e-16 ***
ORIGIN_GRID_ID2069 3.540738 0.200948 17.620 < 2e-16 ***
ORIGIN_GRID_ID2085 2.623696 0.201457 13.024 < 2e-16 ***
ORIGIN_GRID_ID2086 3.898229 0.200862 19.407 < 2e-16 ***
ORIGIN_GRID_ID2087 3.081644 0.201033 15.329 < 2e-16 ***
ORIGIN_GRID_ID2088 3.484761 0.200844 17.351 < 2e-16 ***
ORIGIN_GRID_ID2089 2.849446 0.201101 14.169 < 2e-16 ***
ORIGIN_GRID_ID2090 4.806611 0.200762 23.942 < 2e-16 ***
ORIGIN_GRID_ID2091 1.257010 0.209584 5.998 2.00e-09 ***
ORIGIN_GRID_ID2105 2.052112 0.214955 9.547 < 2e-16 ***
ORIGIN_GRID_ID2106 1.448098 0.202895 7.137 9.53e-13 ***
ORIGIN_GRID_ID2107 2.573544 0.201232 12.789 < 2e-16 ***
ORIGIN_GRID_ID2108 3.782202 0.200883 18.828 < 2e-16 ***
ORIGIN_GRID_ID2109 3.227209 0.200894 16.064 < 2e-16 ***
ORIGIN_GRID_ID2110 2.507817 0.201294 12.458 < 2e-16 ***
ORIGIN_GRID_ID2111 -0.330765 0.224050 -1.476 0.139862
ORIGIN_GRID_ID2128 2.506319 0.201828 12.418 < 2e-16 ***
ORIGIN_GRID_ID2129 2.129528 0.201688 10.559 < 2e-16 ***
ORIGIN_GRID_ID2130 3.969407 0.200806 19.767 < 2e-16 ***
ORIGIN_GRID_ID2131 4.047183 0.200878 20.148 < 2e-16 ***
ORIGIN_GRID_ID2132 3.434059 0.200933 17.091 < 2e-16 ***
ORIGIN_GRID_ID2148 3.419597 0.201398 16.979 < 2e-16 ***
ORIGIN_GRID_ID2149 1.113652 0.203892 5.462 4.71e-08 ***
ORIGIN_GRID_ID2150 3.726418 0.200902 18.548 < 2e-16 ***
ORIGIN_GRID_ID2151 4.120798 0.200797 20.522 < 2e-16 ***
ORIGIN_GRID_ID2152 4.270792 0.200809 21.268 < 2e-16 ***
ORIGIN_GRID_ID2153 3.598640 0.201017 17.902 < 2e-16 ***
ORIGIN_GRID_ID2171 3.102164 0.201113 15.425 < 2e-16 ***
ORIGIN_GRID_ID2172 2.731818 0.201299 13.571 < 2e-16 ***
ORIGIN_GRID_ID2173 3.069220 0.200985 15.271 < 2e-16 ***
ORIGIN_GRID_ID2174 3.501883 0.200984 17.424 < 2e-16 ***
ORIGIN_GRID_ID2191 2.685004 0.201811 13.305 < 2e-16 ***
ORIGIN_GRID_ID2192 2.346406 0.201747 11.630 < 2e-16 ***
ORIGIN_GRID_ID2193 3.045369 0.201121 15.142 < 2e-16 ***
ORIGIN_GRID_ID2194 3.650929 0.200901 18.173 < 2e-16 ***
ORIGIN_GRID_ID2195 2.350854 0.205017 11.467 < 2e-16 ***
ORIGIN_GRID_ID2212 1.584955 0.212843 7.447 9.58e-14 ***
ORIGIN_GRID_ID2213 0.879782 0.209419 4.201 2.66e-05 ***
ORIGIN_GRID_ID2214 2.305189 0.203550 11.325 < 2e-16 ***
ORIGIN_GRID_ID2215 3.342034 0.201136 16.616 < 2e-16 ***
ORIGIN_GRID_ID2216 2.287951 0.201961 11.329 < 2e-16 ***
ORIGIN_GRID_ID2233 2.091071 0.205550 10.173 < 2e-16 ***
ORIGIN_GRID_ID2234 2.703334 0.205045 13.184 < 2e-16 ***
ORIGIN_GRID_ID2235 2.620381 0.202270 12.955 < 2e-16 ***
ORIGIN_GRID_ID2236 1.420715 0.204251 6.956 3.51e-12 ***
ORIGIN_GRID_ID2237 1.491329 0.211404 7.054 1.73e-12 ***
ORIGIN_GRID_ID2256 1.568186 0.209144 7.498 6.47e-14 ***
ORIGIN_GRID_ID2257 2.005544 0.204073 9.828 < 2e-16 ***
ORIGIN_GRID_ID2258 2.057838 0.202608 10.157 < 2e-16 ***
ORIGIN_GRID_ID2259 2.270580 0.208965 10.866 < 2e-16 ***
ORIGIN_GRID_ID2277 1.718422 0.212641 8.081 6.41e-16 ***
ORIGIN_GRID_ID2278 2.032244 0.205017 9.913 < 2e-16 ***
ORIGIN_GRID_ID2279 1.849483 0.203730 9.078 < 2e-16 ***
ORIGIN_GRID_ID2280 0.656835 0.216458 3.034 0.002410 **
ORIGIN_GRID_ID2297 3.587823 0.201479 17.807 < 2e-16 ***
ORIGIN_GRID_ID2300 -0.244761 0.253200 -0.967 0.333707
ORIGIN_GRID_ID2301 1.496185 0.204035 7.333 2.25e-13 ***
ORIGIN_GRID_ID2318 0.988654 0.206763 4.782 1.74e-06 ***
ORIGIN_GRID_ID2319 3.045446 0.201170 15.139 < 2e-16 ***
ORIGIN_GRID_ID2322 4.561072 0.201033 22.688 < 2e-16 ***
ORIGIN_GRID_ID2337 5.636394 0.201507 27.971 < 2e-16 ***
ORIGIN_GRID_ID2341 3.897053 0.201015 19.387 < 2e-16 ***
ORIGIN_GRID_ID2343 2.934958 0.201638 14.556 < 2e-16 ***
ORIGIN_GRID_ID2361 2.932962 0.201534 14.553 < 2e-16 ***
ORIGIN_GRID_ID2364 1.957669 0.206381 9.486 < 2e-16 ***
ORIGIN_GRID_ID2379 0.137893 0.217686 0.633 0.526441
ORIGIN_GRID_ID2384 3.447842 0.202044 17.065 < 2e-16 ***
ORIGIN_GRID_ID2405 3.293676 0.202128 16.295 < 2e-16 ***
ORIGIN_GRID_ID2406 2.242232 0.206276 10.870 < 2e-16 ***
ORIGIN_GRID_ID2426 3.264119 0.206445 15.811 < 2e-16 ***
ORIGIN_GRID_ID2427 3.172928 0.202731 15.651 < 2e-16 ***
ORIGIN_GRID_ID2505 2.479341 0.211840 11.704 < 2e-16 ***
DESTIN_GRID_ID46 0.243956 0.228531 1.067 0.285749
DESTIN_GRID_ID66 0.769568 0.545484 1.411 0.158304
DESTIN_GRID_ID67 -0.676598 0.227246 -2.977 0.002907 **
DESTIN_GRID_ID68 0.068426 0.224613 0.305 0.760641
DESTIN_GRID_ID86 1.304538 0.261794 4.983 6.26e-07 ***
DESTIN_GRID_ID88 0.270386 0.221243 1.222 0.221663
DESTIN_GRID_ID89 2.379337 0.238498 9.976 < 2e-16 ***
DESTIN_GRID_ID90 -1.591211 0.739558 -2.152 0.031431 *
DESTIN_GRID_ID109 0.680753 0.289079 2.355 0.018527 *
DESTIN_GRID_ID110 -4.278642 0.462301 -9.255 < 2e-16 ***
DESTIN_GRID_ID111 4.196670 0.217120 19.329 < 2e-16 ***
DESTIN_GRID_ID112 -3.389238 0.344465 -9.839 < 2e-16 ***
DESTIN_GRID_ID128 4.040336 0.218489 18.492 < 2e-16 ***
DESTIN_GRID_ID129 1.088605 0.415672 2.619 0.008821 **
DESTIN_GRID_ID130 2.233537 0.253394 8.814 < 2e-16 ***
DESTIN_GRID_ID131 -2.078551 0.236354 -8.794 < 2e-16 ***
DESTIN_GRID_ID132 0.241749 0.230725 1.048 0.294741
DESTIN_GRID_ID133 -0.994854 0.241171 -4.125 3.71e-05 ***
DESTIN_GRID_ID134 3.162789 0.217251 14.558 < 2e-16 ***
DESTIN_GRID_ID150 -0.755633 0.228460 -3.308 0.000941 ***
DESTIN_GRID_ID151 -1.148554 0.264351 -4.345 1.39e-05 ***
DESTIN_GRID_ID152 1.071435 0.255956 4.186 2.84e-05 ***
DESTIN_GRID_ID153 0.951301 0.233514 4.074 4.62e-05 ***
DESTIN_GRID_ID154 0.264321 0.230790 1.145 0.252090
DESTIN_GRID_ID155 1.352813 0.219748 6.156 7.45e-10 ***
DESTIN_GRID_ID156 -0.311588 0.241321 -1.291 0.196644
DESTIN_GRID_ID172 0.744672 0.289798 2.570 0.010181 *
DESTIN_GRID_ID174 -0.346237 0.261921 -1.322 0.186197
DESTIN_GRID_ID175 2.985114 0.217328 13.736 < 2e-16 ***
DESTIN_GRID_ID176 -0.062484 0.230096 -0.272 0.785963
DESTIN_GRID_ID195 -0.929859 0.332578 -2.796 0.005175 **
DESTIN_GRID_ID196 -0.179762 0.234601 -0.766 0.443529
DESTIN_GRID_ID197 -1.318336 0.268721 -4.906 9.30e-07 ***
DESTIN_GRID_ID215 0.340983 0.259789 1.313 0.189339
DESTIN_GRID_ID216 2.741131 0.218439 12.549 < 2e-16 ***
DESTIN_GRID_ID217 1.549351 0.222575 6.961 3.38e-12 ***
DESTIN_GRID_ID237 -1.584562 0.345521 -4.586 4.52e-06 ***
DESTIN_GRID_ID238 0.171025 0.243244 0.703 0.481991
DESTIN_GRID_ID239 1.709532 0.229934 7.435 1.05e-13 ***
DESTIN_GRID_ID257 -0.714740 0.230312 -3.103 0.001913 **
DESTIN_GRID_ID258 -0.586380 0.246257 -2.381 0.017258 *
DESTIN_GRID_ID259 -0.083909 0.245268 -0.342 0.732266
DESTIN_GRID_ID278 0.007623 0.231768 0.033 0.973762
DESTIN_GRID_ID279 0.508558 0.232233 2.190 0.028535 *
DESTIN_GRID_ID280 1.059553 0.226737 4.673 2.97e-06 ***
DESTIN_GRID_ID299 -0.117289 0.249763 -0.470 0.638638
DESTIN_GRID_ID300 2.036945 0.219948 9.261 < 2e-16 ***
DESTIN_GRID_ID320 -0.034232 0.238945 -0.143 0.886081
DESTIN_GRID_ID321 -0.158173 0.301182 -0.525 0.599463
DESTIN_GRID_ID322 0.230410 0.230820 0.998 0.318170
DESTIN_GRID_ID340 1.398885 0.224924 6.219 4.99e-10 ***
DESTIN_GRID_ID341 -1.110910 0.239728 -4.634 3.59e-06 ***
DESTIN_GRID_ID342 0.847994 0.227286 3.731 0.000191 ***
DESTIN_GRID_ID363 0.703638 0.231600 3.038 0.002380 **
DESTIN_GRID_ID364 0.087499 0.229464 0.381 0.702968
DESTIN_GRID_ID383 0.053712 0.225507 0.238 0.811738
DESTIN_GRID_ID384 0.442226 0.225661 1.960 0.050032 .
DESTIN_GRID_ID385 -1.941264 0.320598 -6.055 1.40e-09 ***
DESTIN_GRID_ID404 1.726187 0.234233 7.370 1.71e-13 ***
DESTIN_GRID_ID405 -0.819027 0.242872 -3.372 0.000746 ***
DESTIN_GRID_ID406 3.578875 0.217271 16.472 < 2e-16 ***
DESTIN_GRID_ID407 2.057564 0.219205 9.386 < 2e-16 ***
DESTIN_GRID_ID408 3.180974 0.217791 14.606 < 2e-16 ***
DESTIN_GRID_ID425 -1.119066 0.264929 -4.224 2.40e-05 ***
DESTIN_GRID_ID426 -0.605819 0.242877 -2.494 0.012619 *
DESTIN_GRID_ID427 0.612685 0.219997 2.785 0.005353 **
DESTIN_GRID_ID428 1.236480 0.219611 5.630 1.80e-08 ***
DESTIN_GRID_ID429 1.873481 0.220291 8.505 < 2e-16 ***
DESTIN_GRID_ID446 0.719207 0.248033 2.900 0.003736 **
DESTIN_GRID_ID447 -1.231118 0.264618 -4.652 3.28e-06 ***
DESTIN_GRID_ID448 -1.197889 0.243981 -4.910 9.12e-07 ***
DESTIN_GRID_ID449 2.330501 0.217783 10.701 < 2e-16 ***
DESTIN_GRID_ID450 1.617014 0.218542 7.399 1.37e-13 ***
DESTIN_GRID_ID468 0.871576 0.227264 3.835 0.000126 ***
DESTIN_GRID_ID469 0.160956 0.222211 0.724 0.468857
DESTIN_GRID_ID470 3.163861 0.217418 14.552 < 2e-16 ***
DESTIN_GRID_ID471 2.298586 0.218841 10.503 < 2e-16 ***
DESTIN_GRID_ID488 0.397853 0.247041 1.610 0.107294
DESTIN_GRID_ID489 -1.467324 0.361286 -4.061 4.88e-05 ***
DESTIN_GRID_ID490 1.423007 0.219533 6.482 9.05e-11 ***
DESTIN_GRID_ID491 1.587346 0.217973 7.282 3.28e-13 ***
DESTIN_GRID_ID493 -2.335304 0.414974 -5.628 1.83e-08 ***
DESTIN_GRID_ID494 1.339492 0.223311 5.998 1.99e-09 ***
DESTIN_GRID_ID509 0.329036 0.231860 1.419 0.155865
DESTIN_GRID_ID510 0.087219 0.230606 0.378 0.705270
DESTIN_GRID_ID511 1.184632 0.218338 5.426 5.77e-08 ***
DESTIN_GRID_ID512 3.230073 0.217343 14.862 < 2e-16 ***
DESTIN_GRID_ID513 -0.158465 0.227077 -0.698 0.485274
DESTIN_GRID_ID514 0.068702 0.236425 0.291 0.771367
DESTIN_GRID_ID515 -0.364202 0.261862 -1.391 0.164281
DESTIN_GRID_ID530 0.113545 0.261788 0.434 0.664485
DESTIN_GRID_ID531 1.111942 0.223330 4.979 6.39e-07 ***
DESTIN_GRID_ID532 0.217170 0.222307 0.977 0.328621
DESTIN_GRID_ID533 3.570768 0.217290 16.433 < 2e-16 ***
DESTIN_GRID_ID534 3.370584 0.217360 15.507 < 2e-16 ***
DESTIN_GRID_ID536 0.977278 0.222628 4.390 1.13e-05 ***
DESTIN_GRID_ID537 -0.859185 0.295505 -2.908 0.003643 **
DESTIN_GRID_ID538 -0.891154 0.315993 -2.820 0.004800 **
DESTIN_GRID_ID539 0.629980 0.752379 0.837 0.402414
DESTIN_GRID_ID551 -0.516194 0.275518 -1.874 0.060994 .
DESTIN_GRID_ID552 -0.468813 0.252707 -1.855 0.063573 .
DESTIN_GRID_ID553 -0.020861 0.220413 -0.095 0.924596
DESTIN_GRID_ID554 2.635399 0.217385 12.123 < 2e-16 ***
DESTIN_GRID_ID555 2.046549 0.218240 9.378 < 2e-16 ***
DESTIN_GRID_ID559 0.895258 0.235086 3.808 0.000140 ***
DESTIN_GRID_ID560 -0.891613 0.383675 -2.324 0.020132 *
DESTIN_GRID_ID561 -0.811925 0.435968 -1.862 0.062554 .
DESTIN_GRID_ID572 -3.020262 0.739754 -4.083 4.45e-05 ***
DESTIN_GRID_ID573 0.959833 0.224581 4.274 1.92e-05 ***
DESTIN_GRID_ID574 0.494819 0.224342 2.206 0.027409 *
DESTIN_GRID_ID575 5.084038 0.217242 23.403 < 2e-16 ***
DESTIN_GRID_ID576 2.443867 0.217486 11.237 < 2e-16 ***
DESTIN_GRID_ID578 -0.906381 0.280124 -3.236 0.001214 **
DESTIN_GRID_ID582 -0.501477 0.298115 -1.682 0.092538 .
DESTIN_GRID_ID583 0.762128 0.262571 2.903 0.003701 **
DESTIN_GRID_ID584 1.153164 0.246047 4.687 2.78e-06 ***
DESTIN_GRID_ID593 -0.805330 0.298114 -2.701 0.006905 **
DESTIN_GRID_ID594 0.397774 0.228087 1.744 0.081166 .
DESTIN_GRID_ID595 -0.379038 0.222608 -1.703 0.088622 .
DESTIN_GRID_ID596 2.358374 0.217408 10.848 < 2e-16 ***
DESTIN_GRID_ID597 -1.161780 0.251144 -4.626 3.73e-06 ***
DESTIN_GRID_ID603 -0.657528 0.325795 -2.018 0.043568 *
DESTIN_GRID_ID604 0.202891 0.285813 0.710 0.477783
DESTIN_GRID_ID615 -0.869212 0.244697 -3.552 0.000382 ***
DESTIN_GRID_ID616 0.402661 0.222593 1.809 0.070458 .
DESTIN_GRID_ID617 0.048169 0.219692 0.219 0.826449
DESTIN_GRID_ID618 3.055836 0.217361 14.059 < 2e-16 ***
DESTIN_GRID_ID620 -0.569403 0.230643 -2.469 0.013558 *
DESTIN_GRID_ID637 -0.495478 0.227158 -2.181 0.029168 *
DESTIN_GRID_ID638 2.896094 0.217362 13.324 < 2e-16 ***
DESTIN_GRID_ID657 0.108719 0.224912 0.483 0.628822
DESTIN_GRID_ID658 1.689494 0.217937 7.752 9.03e-15 ***
DESTIN_GRID_ID659 2.317480 0.217519 10.654 < 2e-16 ***
DESTIN_GRID_ID660 3.618972 0.217306 16.654 < 2e-16 ***
DESTIN_GRID_ID662 3.559409 0.217674 16.352 < 2e-16 ***
DESTIN_GRID_ID677 0.529772 0.229874 2.305 0.021188 *
DESTIN_GRID_ID678 -0.789505 0.230944 -3.419 0.000629 ***
DESTIN_GRID_ID679 3.251287 0.217376 14.957 < 2e-16 ***
DESTIN_GRID_ID680 3.945035 0.217291 18.156 < 2e-16 ***
DESTIN_GRID_ID681 1.780789 0.218190 8.162 3.30e-16 ***
DESTIN_GRID_ID699 0.741026 0.221928 3.339 0.000841 ***
DESTIN_GRID_ID700 2.822868 0.217482 12.980 < 2e-16 ***
DESTIN_GRID_ID701 1.630535 0.217965 7.481 7.39e-14 ***
DESTIN_GRID_ID702 3.326930 0.217331 15.308 < 2e-16 ***
DESTIN_GRID_ID704 -0.470488 0.227105 -2.072 0.038295 *
DESTIN_GRID_ID722 1.053470 0.218596 4.819 1.44e-06 ***
DESTIN_GRID_ID725 -0.179817 0.224649 -0.800 0.423459
DESTIN_GRID_ID730 1.070269 0.239989 4.460 8.21e-06 ***
DESTIN_GRID_ID741 1.956033 0.218498 8.952 < 2e-16 ***
DESTIN_GRID_ID743 0.896302 0.218628 4.100 4.14e-05 ***
DESTIN_GRID_ID744 2.847564 0.217402 13.098 < 2e-16 ***
DESTIN_GRID_ID752 1.727776 0.223915 7.716 1.20e-14 ***
DESTIN_GRID_ID761 0.695620 0.225973 3.078 0.002082 **
DESTIN_GRID_ID762 2.195310 0.217986 10.071 < 2e-16 ***
DESTIN_GRID_ID763 0.638232 0.219313 2.910 0.003613 **
DESTIN_GRID_ID764 3.579789 0.217311 16.473 < 2e-16 ***
DESTIN_GRID_ID765 1.244669 0.218765 5.690 1.27e-08 ***
DESTIN_GRID_ID767 3.182406 0.217449 14.635 < 2e-16 ***
DESTIN_GRID_ID772 1.944064 0.220494 8.817 < 2e-16 ***
DESTIN_GRID_ID784 0.182601 0.221331 0.825 0.409364
DESTIN_GRID_ID785 2.501951 0.217427 11.507 < 2e-16 ***
DESTIN_GRID_ID786 1.792806 0.217634 8.238 < 2e-16 ***
DESTIN_GRID_ID787 1.874840 0.218163 8.594 < 2e-16 ***
DESTIN_GRID_ID788 2.416667 0.217641 11.104 < 2e-16 ***
DESTIN_GRID_ID789 1.046545 0.218674 4.786 1.70e-06 ***
DESTIN_GRID_ID803 -1.041029 0.257782 -4.038 5.38e-05 ***
DESTIN_GRID_ID804 3.274201 0.217446 15.058 < 2e-16 ***
DESTIN_GRID_ID805 4.215767 0.217282 19.402 < 2e-16 ***
DESTIN_GRID_ID806 2.493875 0.217441 11.469 < 2e-16 ***
DESTIN_GRID_ID807 3.251170 0.217431 14.953 < 2e-16 ***
DESTIN_GRID_ID808 0.878457 0.220008 3.993 6.53e-05 ***
DESTIN_GRID_ID809 3.038337 0.217367 13.978 < 2e-16 ***
DESTIN_GRID_ID810 2.349050 0.217601 10.795 < 2e-16 ***
DESTIN_GRID_ID814 2.074618 0.219877 9.435 < 2e-16 ***
DESTIN_GRID_ID824 0.047311 0.233300 0.203 0.839298
DESTIN_GRID_ID826 0.796510 0.218557 3.644 0.000268 ***
DESTIN_GRID_ID827 2.830573 0.217405 13.020 < 2e-16 ***
DESTIN_GRID_ID828 2.842846 0.217375 13.078 < 2e-16 ***
DESTIN_GRID_ID829 2.633304 0.217505 12.107 < 2e-16 ***
DESTIN_GRID_ID830 2.152569 0.217676 9.889 < 2e-16 ***
DESTIN_GRID_ID831 4.451471 0.217284 20.487 < 2e-16 ***
DESTIN_GRID_ID832 3.762610 0.217391 17.308 < 2e-16 ***
DESTIN_GRID_ID835 -0.602745 0.249400 -2.417 0.015659 *
DESTIN_GRID_ID844 -1.003172 0.301139 -3.331 0.000865 ***
DESTIN_GRID_ID846 2.581984 0.217524 11.870 < 2e-16 ***
DESTIN_GRID_ID847 3.378571 0.217366 15.543 < 2e-16 ***
DESTIN_GRID_ID848 2.407369 0.217466 11.070 < 2e-16 ***
DESTIN_GRID_ID849 1.549197 0.217772 7.114 1.13e-12 ***
DESTIN_GRID_ID850 2.627594 0.217446 12.084 < 2e-16 ***
DESTIN_GRID_ID851 2.663853 0.217406 12.253 < 2e-16 ***
DESTIN_GRID_ID852 2.132774 0.217635 9.800 < 2e-16 ***
DESTIN_GRID_ID853 4.135971 0.217426 19.022 < 2e-16 ***
DESTIN_GRID_ID854 -0.054968 0.239414 -0.230 0.818406
DESTIN_GRID_ID855 -0.982800 0.251738 -3.904 9.46e-05 ***
DESTIN_GRID_ID856 0.938685 0.222898 4.211 2.54e-05 ***
DESTIN_GRID_ID866 1.158740 0.222300 5.212 1.86e-07 ***
DESTIN_GRID_ID867 1.339966 0.218624 6.129 8.84e-10 ***
DESTIN_GRID_ID868 1.938469 0.218031 8.891 < 2e-16 ***
DESTIN_GRID_ID869 2.686300 0.217883 12.329 < 2e-16 ***
DESTIN_GRID_ID870 3.997240 0.217286 18.396 < 2e-16 ***
DESTIN_GRID_ID871 3.750014 0.217400 17.249 < 2e-16 ***
DESTIN_GRID_ID872 0.726851 0.218637 3.324 0.000886 ***
DESTIN_GRID_ID873 2.057027 0.217831 9.443 < 2e-16 ***
DESTIN_GRID_ID874 0.989857 0.218333 4.534 5.80e-06 ***
DESTIN_GRID_ID875 -1.000112 0.271210 -3.688 0.000226 ***
DESTIN_GRID_ID876 -0.699769 0.239415 -2.923 0.003469 **
DESTIN_GRID_ID877 1.431823 0.220121 6.505 7.79e-11 ***
DESTIN_GRID_ID887 1.503585 0.218419 6.884 5.82e-12 ***
DESTIN_GRID_ID888 1.904028 0.217834 8.741 < 2e-16 ***
DESTIN_GRID_ID889 -0.305490 0.227269 -1.344 0.178891
DESTIN_GRID_ID890 3.075157 0.217376 14.147 < 2e-16 ***
DESTIN_GRID_ID891 1.803346 0.218373 8.258 < 2e-16 ***
DESTIN_GRID_ID893 2.972245 0.217365 13.674 < 2e-16 ***
DESTIN_GRID_ID894 0.618534 0.218970 2.825 0.004732 **
DESTIN_GRID_ID895 0.863383 0.219736 3.929 8.52e-05 ***
DESTIN_GRID_ID896 -0.398306 0.228441 -1.744 0.081231 .
DESTIN_GRID_ID897 0.602017 0.220462 2.731 0.006320 **
DESTIN_GRID_ID898 0.497742 0.225727 2.205 0.027450 *
DESTIN_GRID_ID908 2.040105 0.219626 9.289 < 2e-16 ***
DESTIN_GRID_ID909 2.138153 0.217561 9.828 < 2e-16 ***
DESTIN_GRID_ID910 -0.653070 0.224863 -2.904 0.003681 **
DESTIN_GRID_ID911 2.065987 0.217740 9.488 < 2e-16 ***
DESTIN_GRID_ID912 2.800953 0.217420 12.883 < 2e-16 ***
DESTIN_GRID_ID915 2.575813 0.217434 11.846 < 2e-16 ***
DESTIN_GRID_ID917 2.621764 0.217763 12.040 < 2e-16 ***
DESTIN_GRID_ID918 -1.503167 0.245719 -6.117 9.51e-10 ***
DESTIN_GRID_ID919 0.697499 0.219491 3.178 0.001484 **
DESTIN_GRID_ID928 1.963217 0.218176 8.998 < 2e-16 ***
DESTIN_GRID_ID929 2.632506 0.217448 12.106 < 2e-16 ***
DESTIN_GRID_ID930 3.582562 0.217314 16.486 < 2e-16 ***
DESTIN_GRID_ID931 0.056718 0.222388 0.255 0.798690
DESTIN_GRID_ID932 0.561724 0.221211 2.539 0.011107 *
DESTIN_GRID_ID933 2.378504 0.217665 10.927 < 2e-16 ***
DESTIN_GRID_ID934 -0.378868 0.223193 -1.697 0.089604 .
DESTIN_GRID_ID935 4.498157 0.217275 20.703 < 2e-16 ***
DESTIN_GRID_ID938 -2.570836 0.415051 -6.194 5.86e-10 ***
DESTIN_GRID_ID939 4.279892 0.217355 19.691 < 2e-16 ***
DESTIN_GRID_ID940 -1.950323 0.260860 -7.477 7.63e-14 ***
DESTIN_GRID_ID949 1.970919 0.218092 9.037 < 2e-16 ***
DESTIN_GRID_ID950 3.699675 0.217381 17.019 < 2e-16 ***
DESTIN_GRID_ID951 4.481155 0.217276 20.624 < 2e-16 ***
DESTIN_GRID_ID952 0.271311 0.222604 1.219 0.222918
DESTIN_GRID_ID953 1.789932 0.218153 8.205 2.31e-16 ***
DESTIN_GRID_ID954 0.464623 0.219626 2.116 0.034385 *
DESTIN_GRID_ID955 3.310637 0.217390 15.229 < 2e-16 ***
DESTIN_GRID_ID956 1.029198 0.218279 4.715 2.42e-06 ***
DESTIN_GRID_ID957 2.803950 0.217458 12.894 < 2e-16 ***
DESTIN_GRID_ID959 -0.251158 0.236862 -1.060 0.288982
DESTIN_GRID_ID961 -0.128538 0.223083 -0.576 0.564486
DESTIN_GRID_ID962 4.511943 0.217391 20.755 < 2e-16 ***
DESTIN_GRID_ID970 2.241194 0.217659 10.297 < 2e-16 ***
DESTIN_GRID_ID971 2.987229 0.217364 13.743 < 2e-16 ***
DESTIN_GRID_ID972 2.789348 0.217425 12.829 < 2e-16 ***
DESTIN_GRID_ID974 2.171493 0.217746 9.973 < 2e-16 ***
DESTIN_GRID_ID975 1.443343 0.218207 6.615 3.73e-11 ***
DESTIN_GRID_ID976 1.327170 0.218291 6.080 1.20e-09 ***
DESTIN_GRID_ID977 2.768681 0.217400 12.735 < 2e-16 ***
DESTIN_GRID_ID978 2.627482 0.217660 12.072 < 2e-16 ***
DESTIN_GRID_ID982 0.218053 0.219770 0.992 0.321107
DESTIN_GRID_ID991 2.445136 0.217732 11.230 < 2e-16 ***
DESTIN_GRID_ID992 2.602569 0.217548 11.963 < 2e-16 ***
DESTIN_GRID_ID993 1.606880 0.217809 7.377 1.61e-13 ***
DESTIN_GRID_ID994 1.881004 0.217812 8.636 < 2e-16 ***
DESTIN_GRID_ID995 2.596794 0.217534 11.937 < 2e-16 ***
DESTIN_GRID_ID996 1.852981 0.217956 8.502 < 2e-16 ***
DESTIN_GRID_ID997 0.967990 0.221160 4.377 1.20e-05 ***
DESTIN_GRID_ID998 3.284864 0.217388 15.111 < 2e-16 ***
DESTIN_GRID_ID999 2.618020 0.217561 12.033 < 2e-16 ***
DESTIN_GRID_ID1001 0.573557 0.223757 2.563 0.010368 *
DESTIN_GRID_ID1003 3.505504 0.217359 16.128 < 2e-16 ***
DESTIN_GRID_ID1004 3.440701 0.217373 15.829 < 2e-16 ***
DESTIN_GRID_ID1011 0.681272 0.223961 3.042 0.002351 **
DESTIN_GRID_ID1012 2.473638 0.218121 11.341 < 2e-16 ***
DESTIN_GRID_ID1013 1.463857 0.218289 6.706 2.00e-11 ***
DESTIN_GRID_ID1014 1.483448 0.218201 6.799 1.06e-11 ***
DESTIN_GRID_ID1015 0.522771 0.219650 2.380 0.017312 *
DESTIN_GRID_ID1016 3.657641 0.217346 16.829 < 2e-16 ***
DESTIN_GRID_ID1018 1.643357 0.218490 7.521 5.42e-14 ***
DESTIN_GRID_ID1019 3.096499 0.217428 14.242 < 2e-16 ***
DESTIN_GRID_ID1023 2.018419 0.218045 9.257 < 2e-16 ***
DESTIN_GRID_ID1024 2.743423 0.217487 12.614 < 2e-16 ***
DESTIN_GRID_ID1025 0.084643 0.223765 0.378 0.705233
DESTIN_GRID_ID1033 1.641457 0.218403 7.516 5.66e-14 ***
DESTIN_GRID_ID1034 2.468276 0.217614 11.342 < 2e-16 ***
DESTIN_GRID_ID1035 2.875913 0.217482 13.224 < 2e-16 ***
DESTIN_GRID_ID1036 2.697805 0.217535 12.402 < 2e-16 ***
DESTIN_GRID_ID1037 2.704532 0.217458 12.437 < 2e-16 ***
DESTIN_GRID_ID1043 2.359566 0.218534 10.797 < 2e-16 ***
DESTIN_GRID_ID1045 2.937017 0.217410 13.509 < 2e-16 ***
DESTIN_GRID_ID1046 2.940761 0.217512 13.520 < 2e-16 ***
DESTIN_GRID_ID1053 3.176925 0.217512 14.606 < 2e-16 ***
DESTIN_GRID_ID1054 1.966292 0.217879 9.025 < 2e-16 ***
DESTIN_GRID_ID1055 2.922665 0.217483 13.439 < 2e-16 ***
DESTIN_GRID_ID1056 1.982372 0.217907 9.097 < 2e-16 ***
DESTIN_GRID_ID1064 -1.453007 0.286011 -5.080 3.77e-07 ***
DESTIN_GRID_ID1066 3.324998 0.217375 15.296 < 2e-16 ***
DESTIN_GRID_ID1067 -2.131213 0.292702 -7.281 3.31e-13 ***
DESTIN_GRID_ID1074 2.419503 0.217850 11.106 < 2e-16 ***
DESTIN_GRID_ID1075 0.976165 0.219617 4.445 8.80e-06 ***
DESTIN_GRID_ID1076 1.271437 0.218276 5.825 5.71e-09 ***
DESTIN_GRID_ID1077 1.711574 0.218030 7.850 4.15e-15 ***
DESTIN_GRID_ID1079 3.020109 0.217450 13.889 < 2e-16 ***
DESTIN_GRID_ID1085 -0.574577 0.320622 -1.792 0.073122 .
DESTIN_GRID_ID1087 2.298505 0.217572 10.564 < 2e-16 ***
DESTIN_GRID_ID1088 0.692574 0.218880 3.164 0.001555 **
DESTIN_GRID_ID1094 0.373597 0.227057 1.645 0.099890 .
DESTIN_GRID_ID1095 0.966674 0.224557 4.305 1.67e-05 ***
DESTIN_GRID_ID1096 0.772314 0.227879 3.389 0.000701 ***
DESTIN_GRID_ID1097 3.510682 0.217361 16.151 < 2e-16 ***
DESTIN_GRID_ID1098 0.959616 0.220064 4.361 1.30e-05 ***
DESTIN_GRID_ID1099 2.353959 0.217632 10.816 < 2e-16 ***
DESTIN_GRID_ID1105 3.928056 0.217993 18.019 < 2e-16 ***
DESTIN_GRID_ID1106 -1.306378 0.276978 -4.717 2.40e-06 ***
DESTIN_GRID_ID1107 2.149392 0.218095 9.855 < 2e-16 ***
DESTIN_GRID_ID1108 5.045658 0.217286 23.221 < 2e-16 ***
DESTIN_GRID_ID1109 0.381048 0.222957 1.709 0.087438 .
DESTIN_GRID_ID1116 1.674000 0.218421 7.664 1.80e-14 ***
DESTIN_GRID_ID1117 1.610119 0.218680 7.363 1.80e-13 ***
DESTIN_GRID_ID1118 1.901453 0.218439 8.705 < 2e-16 ***
DESTIN_GRID_ID1119 2.134086 0.217764 9.800 < 2e-16 ***
DESTIN_GRID_ID1120 1.696783 0.218535 7.764 8.21e-15 ***
DESTIN_GRID_ID1129 2.746722 0.217493 12.629 < 2e-16 ***
DESTIN_GRID_ID1130 2.704634 0.217454 12.438 < 2e-16 ***
DESTIN_GRID_ID1131 2.214493 0.218445 10.138 < 2e-16 ***
DESTIN_GRID_ID1136 1.425054 0.218884 6.511 7.49e-11 ***
DESTIN_GRID_ID1138 0.796903 0.221435 3.599 0.000320 ***
DESTIN_GRID_ID1139 2.907951 0.217428 13.374 < 2e-16 ***
DESTIN_GRID_ID1141 2.434070 0.217622 11.185 < 2e-16 ***
DESTIN_GRID_ID1148 -0.648422 0.249820 -2.596 0.009444 **
DESTIN_GRID_ID1149 1.271060 0.219498 5.791 7.01e-09 ***
DESTIN_GRID_ID1150 2.857115 0.217405 13.142 < 2e-16 ***
DESTIN_GRID_ID1151 1.946182 0.217855 8.933 < 2e-16 ***
DESTIN_GRID_ID1158 1.366977 0.218446 6.258 3.91e-10 ***
DESTIN_GRID_ID1159 2.534575 0.217527 11.652 < 2e-16 ***
DESTIN_GRID_ID1160 3.455774 0.217357 15.899 < 2e-16 ***
DESTIN_GRID_ID1171 3.357616 0.217444 15.441 < 2e-16 ***
DESTIN_GRID_ID1172 3.925554 0.217343 18.062 < 2e-16 ***
DESTIN_GRID_ID1173 1.102249 0.219297 5.026 5.00e-07 ***
DESTIN_GRID_ID1178 2.416948 0.217656 11.104 < 2e-16 ***
DESTIN_GRID_ID1179 3.132536 0.217400 14.409 < 2e-16 ***
DESTIN_GRID_ID1180 3.304391 0.217368 15.202 < 2e-16 ***
DESTIN_GRID_ID1181 2.338993 0.217577 10.750 < 2e-16 ***
DESTIN_GRID_ID1183 1.450799 0.218523 6.639 3.16e-11 ***
DESTIN_GRID_ID1190 1.566313 0.222565 7.038 1.96e-12 ***
DESTIN_GRID_ID1192 2.631195 0.217548 12.095 < 2e-16 ***
DESTIN_GRID_ID1193 2.269269 0.217676 10.425 < 2e-16 ***
DESTIN_GRID_ID1194 0.700691 0.221113 3.169 0.001530 **
DESTIN_GRID_ID1200 2.376150 0.217667 10.916 < 2e-16 ***
DESTIN_GRID_ID1201 2.993618 0.217438 13.768 < 2e-16 ***
DESTIN_GRID_ID1203 2.538555 0.217597 11.666 < 2e-16 ***
DESTIN_GRID_ID1204 1.836014 0.217972 8.423 < 2e-16 ***
DESTIN_GRID_ID1211 -1.098915 0.320835 -3.425 0.000614 ***
DESTIN_GRID_ID1214 2.838862 0.217497 13.052 < 2e-16 ***
DESTIN_GRID_ID1215 -1.018842 0.253897 -4.013 6.00e-05 ***
DESTIN_GRID_ID1216 0.652168 0.224114 2.910 0.003614 **
DESTIN_GRID_ID1220 3.043480 0.217442 13.997 < 2e-16 ***
DESTIN_GRID_ID1221 2.990409 0.217406 13.755 < 2e-16 ***
DESTIN_GRID_ID1222 2.479458 0.218002 11.374 < 2e-16 ***
DESTIN_GRID_ID1223 1.955953 0.217916 8.976 < 2e-16 ***
DESTIN_GRID_ID1224 2.202491 0.217737 10.115 < 2e-16 ***
DESTIN_GRID_ID1231 0.704959 0.226100 3.118 0.001821 **
DESTIN_GRID_ID1232 0.890071 0.230313 3.865 0.000111 ***
DESTIN_GRID_ID1235 0.347122 0.219934 1.578 0.114496
DESTIN_GRID_ID1236 1.621742 0.218566 7.420 1.17e-13 ***
DESTIN_GRID_ID1241 1.739520 0.218001 7.979 1.47e-15 ***
DESTIN_GRID_ID1242 2.346992 0.217613 10.785 < 2e-16 ***
DESTIN_GRID_ID1243 2.980373 0.217418 13.708 < 2e-16 ***
DESTIN_GRID_ID1246 2.628734 0.217548 12.083 < 2e-16 ***
DESTIN_GRID_ID1256 1.673128 0.218030 7.674 1.67e-14 ***
DESTIN_GRID_ID1257 2.385438 0.217812 10.952 < 2e-16 ***
DESTIN_GRID_ID1258 1.417822 0.219417 6.462 1.03e-10 ***
DESTIN_GRID_ID1262 1.366924 0.218260 6.263 3.78e-10 ***
DESTIN_GRID_ID1263 3.265236 0.217353 15.023 < 2e-16 ***
DESTIN_GRID_ID1264 1.974578 0.217950 9.060 < 2e-16 ***
DESTIN_GRID_ID1265 2.038449 0.217944 9.353 < 2e-16 ***
DESTIN_GRID_ID1266 2.265671 0.217767 10.404 < 2e-16 ***
DESTIN_GRID_ID1267 1.804140 0.218551 8.255 < 2e-16 ***
DESTIN_GRID_ID1272 -1.450808 0.272529 -5.323 1.02e-07 ***
DESTIN_GRID_ID1273 1.950229 0.218247 8.936 < 2e-16 ***
DESTIN_GRID_ID1277 3.333571 0.217405 15.333 < 2e-16 ***
DESTIN_GRID_ID1278 1.009600 0.218967 4.611 4.01e-06 ***
DESTIN_GRID_ID1283 4.600992 0.217295 21.174 < 2e-16 ***
DESTIN_GRID_ID1284 2.969692 0.217421 13.659 < 2e-16 ***
DESTIN_GRID_ID1285 3.530772 0.217349 16.245 < 2e-16 ***
DESTIN_GRID_ID1286 1.668090 0.218341 7.640 2.18e-14 ***
DESTIN_GRID_ID1289 -0.005921 0.228708 -0.026 0.979344
DESTIN_GRID_ID1293 -0.647262 0.244710 -2.645 0.008169 **
DESTIN_GRID_ID1294 3.125280 0.217648 14.359 < 2e-16 ***
DESTIN_GRID_ID1295 0.846133 0.220626 3.835 0.000125 ***
DESTIN_GRID_ID1298 2.064723 0.217736 9.483 < 2e-16 ***
DESTIN_GRID_ID1299 2.725331 0.217607 12.524 < 2e-16 ***
DESTIN_GRID_ID1304 3.274870 0.217402 15.064 < 2e-16 ***
DESTIN_GRID_ID1305 2.980784 0.217378 13.712 < 2e-16 ***
DESTIN_GRID_ID1307 1.487474 0.220355 6.750 1.47e-11 ***
DESTIN_GRID_ID1308 2.773661 0.217504 12.752 < 2e-16 ***
DESTIN_GRID_ID1310 -0.926665 0.269922 -3.433 0.000597 ***
DESTIN_GRID_ID1316 0.165474 0.222361 0.744 0.456776
DESTIN_GRID_ID1317 0.887276 0.218756 4.056 4.99e-05 ***
DESTIN_GRID_ID1318 0.371852 0.220118 1.689 0.091156 .
DESTIN_GRID_ID1319 3.871227 0.217355 17.811 < 2e-16 ***
DESTIN_GRID_ID1320 1.567053 0.218733 7.164 7.82e-13 ***
DESTIN_GRID_ID1324 3.460347 0.218291 15.852 < 2e-16 ***
DESTIN_GRID_ID1325 1.184399 0.218495 5.421 5.94e-08 ***
DESTIN_GRID_ID1326 2.940755 0.217412 13.526 < 2e-16 ***
DESTIN_GRID_ID1327 2.827000 0.217424 13.002 < 2e-16 ***
DESTIN_GRID_ID1328 2.227999 0.217613 10.238 < 2e-16 ***
DESTIN_GRID_ID1329 2.408584 0.217790 11.059 < 2e-16 ***
DESTIN_GRID_ID1330 3.190356 0.217666 14.657 < 2e-16 ***
DESTIN_GRID_ID1331 -1.258490 0.311779 -4.036 5.43e-05 ***
DESTIN_GRID_ID1333 1.467909 0.218809 6.709 1.96e-11 ***
DESTIN_GRID_ID1334 1.838101 0.218410 8.416 < 2e-16 ***
DESTIN_GRID_ID1335 1.513548 0.218957 6.913 4.76e-12 ***
DESTIN_GRID_ID1336 -0.258219 0.247581 -1.043 0.296963
DESTIN_GRID_ID1337 0.589157 0.221558 2.659 0.007834 **
DESTIN_GRID_ID1338 -1.858462 0.249271 -7.456 8.95e-14 ***
DESTIN_GRID_ID1339 3.655953 0.217354 16.820 < 2e-16 ***
DESTIN_GRID_ID1340 2.956476 0.217520 13.592 < 2e-16 ***
DESTIN_GRID_ID1341 -1.846456 0.415021 -4.449 8.62e-06 ***
DESTIN_GRID_ID1346 2.411764 0.217754 11.076 < 2e-16 ***
DESTIN_GRID_ID1347 4.125492 0.217314 18.984 < 2e-16 ***
DESTIN_GRID_ID1348 2.887891 0.217424 13.282 < 2e-16 ***
DESTIN_GRID_ID1349 3.517156 0.217378 16.180 < 2e-16 ***
DESTIN_GRID_ID1350 1.471487 0.218866 6.723 1.78e-11 ***
DESTIN_GRID_ID1353 2.700194 0.217551 12.412 < 2e-16 ***
DESTIN_GRID_ID1354 0.867611 0.219280 3.957 7.60e-05 ***
DESTIN_GRID_ID1355 1.906922 0.218025 8.746 < 2e-16 ***
DESTIN_GRID_ID1357 0.567233 0.222445 2.550 0.010772 *
DESTIN_GRID_ID1358 3.592776 0.217379 16.528 < 2e-16 ***
DESTIN_GRID_ID1359 2.292596 0.217536 10.539 < 2e-16 ***
DESTIN_GRID_ID1360 1.836555 0.217704 8.436 < 2e-16 ***
DESTIN_GRID_ID1361 3.126010 0.217494 14.373 < 2e-16 ***
DESTIN_GRID_ID1362 -0.816280 0.259305 -3.148 0.001644 **
DESTIN_GRID_ID1368 1.937047 0.217731 8.896 < 2e-16 ***
DESTIN_GRID_ID1369 1.873033 0.217704 8.604 < 2e-16 ***
DESTIN_GRID_ID1370 4.232541 0.217290 19.479 < 2e-16 ***
DESTIN_GRID_ID1371 2.087646 0.217755 9.587 < 2e-16 ***
DESTIN_GRID_ID1372 0.899660 0.219403 4.100 4.12e-05 ***
DESTIN_GRID_ID1373 0.348301 0.223233 1.560 0.118698
DESTIN_GRID_ID1374 1.590813 0.218072 7.295 2.99e-13 ***
DESTIN_GRID_ID1375 2.914677 0.217621 13.393 < 2e-16 ***
DESTIN_GRID_ID1376 1.358407 0.219217 6.197 5.77e-10 ***
DESTIN_GRID_ID1379 0.684216 0.222004 3.082 0.002056 **
DESTIN_GRID_ID1380 3.775058 0.217335 17.370 < 2e-16 ***
DESTIN_GRID_ID1381 4.141591 0.217313 19.058 < 2e-16 ***
DESTIN_GRID_ID1382 3.166897 0.217464 14.563 < 2e-16 ***
DESTIN_GRID_ID1383 0.631448 0.220372 2.865 0.004165 **
DESTIN_GRID_ID1388 2.450265 0.217554 11.263 < 2e-16 ***
DESTIN_GRID_ID1389 2.093301 0.217614 9.619 < 2e-16 ***
DESTIN_GRID_ID1390 2.505632 0.217498 11.520 < 2e-16 ***
DESTIN_GRID_ID1391 3.057996 0.217421 14.065 < 2e-16 ***
DESTIN_GRID_ID1392 1.847513 0.220879 8.364 < 2e-16 ***
DESTIN_GRID_ID1393 0.555470 0.219719 2.528 0.011469 *
DESTIN_GRID_ID1394 2.486595 0.217536 11.431 < 2e-16 ***
DESTIN_GRID_ID1395 2.634593 0.217488 12.114 < 2e-16 ***
DESTIN_GRID_ID1396 3.081008 0.217431 14.170 < 2e-16 ***
DESTIN_GRID_ID1397 2.820628 0.217491 12.969 < 2e-16 ***
DESTIN_GRID_ID1398 1.766079 0.218719 8.075 6.77e-16 ***
DESTIN_GRID_ID1400 2.208248 0.217780 10.140 < 2e-16 ***
DESTIN_GRID_ID1401 3.371145 0.217342 15.511 < 2e-16 ***
DESTIN_GRID_ID1402 2.516527 0.217497 11.570 < 2e-16 ***
DESTIN_GRID_ID1404 3.547571 0.218224 16.257 < 2e-16 ***
DESTIN_GRID_ID1410 2.840784 0.217423 13.066 < 2e-16 ***
DESTIN_GRID_ID1411 2.236491 0.217619 10.277 < 2e-16 ***
DESTIN_GRID_ID1412 3.902922 0.217305 17.961 < 2e-16 ***
DESTIN_GRID_ID1413 2.857228 0.217435 13.141 < 2e-16 ***
DESTIN_GRID_ID1414 2.119221 0.217597 9.739 < 2e-16 ***
DESTIN_GRID_ID1415 2.062379 0.217685 9.474 < 2e-16 ***
DESTIN_GRID_ID1416 2.152602 0.217673 9.889 < 2e-16 ***
DESTIN_GRID_ID1417 2.046815 0.217614 9.406 < 2e-16 ***
DESTIN_GRID_ID1418 2.726008 0.217472 12.535 < 2e-16 ***
DESTIN_GRID_ID1419 2.119173 0.217788 9.730 < 2e-16 ***
DESTIN_GRID_ID1422 2.414483 0.217535 11.099 < 2e-16 ***
DESTIN_GRID_ID1423 2.797919 0.217464 12.866 < 2e-16 ***
DESTIN_GRID_ID1430 2.844156 0.217547 13.074 < 2e-16 ***
DESTIN_GRID_ID1431 4.437271 0.217289 20.421 < 2e-16 ***
DESTIN_GRID_ID1432 3.523094 0.217325 16.211 < 2e-16 ***
DESTIN_GRID_ID1433 1.132549 0.219089 5.169 2.35e-07 ***
DESTIN_GRID_ID1434 3.338303 0.217363 15.358 < 2e-16 ***
DESTIN_GRID_ID1435 2.815543 0.217404 12.951 < 2e-16 ***
DESTIN_GRID_ID1436 0.409338 0.220173 1.859 0.063004 .
DESTIN_GRID_ID1437 2.974147 0.217411 13.680 < 2e-16 ***
DESTIN_GRID_ID1438 3.385896 0.217333 15.579 < 2e-16 ***
DESTIN_GRID_ID1439 3.497308 0.217358 16.090 < 2e-16 ***
DESTIN_GRID_ID1440 0.756272 0.220781 3.425 0.000614 ***
DESTIN_GRID_ID1442 1.715235 0.218114 7.864 3.72e-15 ***
DESTIN_GRID_ID1443 2.620206 0.217497 12.047 < 2e-16 ***
DESTIN_GRID_ID1444 1.880526 0.218230 8.617 < 2e-16 ***
DESTIN_GRID_ID1452 2.913505 0.217432 13.400 < 2e-16 ***
DESTIN_GRID_ID1453 3.117357 0.217376 14.341 < 2e-16 ***
DESTIN_GRID_ID1454 2.370901 0.217629 10.894 < 2e-16 ***
DESTIN_GRID_ID1455 1.947098 0.217783 8.941 < 2e-16 ***
DESTIN_GRID_ID1456 2.872762 0.217431 13.212 < 2e-16 ***
DESTIN_GRID_ID1457 3.418145 0.217375 15.725 < 2e-16 ***
DESTIN_GRID_ID1458 4.257586 0.217296 19.594 < 2e-16 ***
DESTIN_GRID_ID1459 2.309598 0.217497 10.619 < 2e-16 ***
DESTIN_GRID_ID1460 3.045034 0.217376 14.008 < 2e-16 ***
DESTIN_GRID_ID1461 1.544385 0.218470 7.069 1.56e-12 ***
DESTIN_GRID_ID1464 2.822629 0.217505 12.977 < 2e-16 ***
DESTIN_GRID_ID1465 2.241149 0.217736 10.293 < 2e-16 ***
DESTIN_GRID_ID1472 1.826191 0.218213 8.369 < 2e-16 ***
DESTIN_GRID_ID1473 2.415050 0.217532 11.102 < 2e-16 ***
DESTIN_GRID_ID1474 3.706151 0.217306 17.055 < 2e-16 ***
DESTIN_GRID_ID1475 3.827393 0.217309 17.613 < 2e-16 ***
DESTIN_GRID_ID1476 2.418248 0.217524 11.117 < 2e-16 ***
DESTIN_GRID_ID1477 4.389964 0.217280 20.204 < 2e-16 ***
DESTIN_GRID_ID1478 1.923448 0.217620 8.839 < 2e-16 ***
DESTIN_GRID_ID1479 2.051970 0.217563 9.432 < 2e-16 ***
DESTIN_GRID_ID1480 4.288502 0.217288 19.737 < 2e-16 ***
DESTIN_GRID_ID1481 1.056402 0.218631 4.832 1.35e-06 ***
DESTIN_GRID_ID1482 1.169957 0.219491 5.330 9.80e-08 ***
DESTIN_GRID_ID1485 1.548669 0.218134 7.100 1.25e-12 ***
DESTIN_GRID_ID1494 1.770515 0.218034 8.120 4.65e-16 ***
DESTIN_GRID_ID1495 3.014330 0.217385 13.866 < 2e-16 ***
DESTIN_GRID_ID1496 4.081885 0.217290 18.785 < 2e-16 ***
DESTIN_GRID_ID1497 3.081816 0.217389 14.177 < 2e-16 ***
DESTIN_GRID_ID1498 2.839737 0.217422 13.061 < 2e-16 ***
DESTIN_GRID_ID1499 3.086331 0.217358 14.199 < 2e-16 ***
DESTIN_GRID_ID1500 2.877438 0.217540 13.227 < 2e-16 ***
DESTIN_GRID_ID1501 2.990691 0.217374 13.758 < 2e-16 ***
DESTIN_GRID_ID1502 2.778946 0.217430 12.781 < 2e-16 ***
DESTIN_GRID_ID1506 -0.185269 0.292722 -0.633 0.526789
DESTIN_GRID_ID1514 -2.996914 0.617999 -4.849 1.24e-06 ***
DESTIN_GRID_ID1515 2.059109 0.219288 9.390 < 2e-16 ***
DESTIN_GRID_ID1516 3.745849 0.217311 17.237 < 2e-16 ***
DESTIN_GRID_ID1517 3.529756 0.217373 16.238 < 2e-16 ***
DESTIN_GRID_ID1518 2.497433 0.217492 11.483 < 2e-16 ***
DESTIN_GRID_ID1519 2.928824 0.217494 13.466 < 2e-16 ***
DESTIN_GRID_ID1520 1.594112 0.217811 7.319 2.50e-13 ***
DESTIN_GRID_ID1521 0.394556 0.219566 1.797 0.072338 .
DESTIN_GRID_ID1522 3.288901 0.217361 15.131 < 2e-16 ***
DESTIN_GRID_ID1523 1.842214 0.218541 8.430 < 2e-16 ***
DESTIN_GRID_ID1524 2.175313 0.218093 9.974 < 2e-16 ***
DESTIN_GRID_ID1527 0.872859 0.220389 3.961 7.48e-05 ***
DESTIN_GRID_ID1535 2.425794 0.226332 10.718 < 2e-16 ***
DESTIN_GRID_ID1536 2.332564 0.218285 10.686 < 2e-16 ***
DESTIN_GRID_ID1537 3.174563 0.217398 14.603 < 2e-16 ***
DESTIN_GRID_ID1538 3.327687 0.217343 15.311 < 2e-16 ***
DESTIN_GRID_ID1539 2.887835 0.217382 13.285 < 2e-16 ***
DESTIN_GRID_ID1540 2.779388 0.217400 12.785 < 2e-16 ***
DESTIN_GRID_ID1541 3.447942 0.217566 15.848 < 2e-16 ***
DESTIN_GRID_ID1542 1.275917 0.218930 5.828 5.61e-09 ***
DESTIN_GRID_ID1543 1.622480 0.221270 7.333 2.26e-13 ***
DESTIN_GRID_ID1544 2.229600 0.217886 10.233 < 2e-16 ***
DESTIN_GRID_ID1547 -0.292117 0.235985 -1.238 0.215767
DESTIN_GRID_ID1556 2.374506 0.220968 10.746 < 2e-16 ***
DESTIN_GRID_ID1557 3.265568 0.217595 15.008 < 2e-16 ***
DESTIN_GRID_ID1558 2.709395 0.218584 12.395 < 2e-16 ***
DESTIN_GRID_ID1559 3.304847 0.217346 15.205 < 2e-16 ***
DESTIN_GRID_ID1560 3.518210 0.217332 16.188 < 2e-16 ***
DESTIN_GRID_ID1561 2.751265 0.217525 12.648 < 2e-16 ***
DESTIN_GRID_ID1562 0.195957 0.220396 0.889 0.373941
DESTIN_GRID_ID1563 1.981621 0.217649 9.105 < 2e-16 ***
DESTIN_GRID_ID1564 0.745074 0.218900 3.404 0.000665 ***
DESTIN_GRID_ID1565 0.844691 0.219050 3.856 0.000115 ***
DESTIN_GRID_ID1566 0.670630 0.220278 3.044 0.002331 **
DESTIN_GRID_ID1567 -1.235917 0.261727 -4.722 2.33e-06 ***
DESTIN_GRID_ID1568 0.142014 0.231217 0.614 0.539082
DESTIN_GRID_ID1578 1.297956 0.238700 5.438 5.40e-08 ***
DESTIN_GRID_ID1580 1.758806 0.218268 8.058 7.75e-16 ***
DESTIN_GRID_ID1581 0.769825 0.218633 3.521 0.000430 ***
DESTIN_GRID_ID1582 3.041994 0.217367 13.995 < 2e-16 ***
DESTIN_GRID_ID1583 1.921068 0.219190 8.764 < 2e-16 ***
DESTIN_GRID_ID1584 1.811537 0.217974 8.311 < 2e-16 ***
DESTIN_GRID_ID1585 2.884500 0.217500 13.262 < 2e-16 ***
DESTIN_GRID_ID1586 0.728007 0.218990 3.324 0.000886 ***
DESTIN_GRID_ID1589 -0.467309 0.234208 -1.995 0.046014 *
DESTIN_GRID_ID1590 0.073993 0.234717 0.315 0.752576
DESTIN_GRID_ID1600 3.097609 0.218088 14.203 < 2e-16 ***
DESTIN_GRID_ID1601 2.481915 0.217466 11.413 < 2e-16 ***
DESTIN_GRID_ID1602 2.703078 0.217479 12.429 < 2e-16 ***
DESTIN_GRID_ID1603 3.453950 0.217362 15.890 < 2e-16 ***
DESTIN_GRID_ID1604 1.827419 0.217706 8.394 < 2e-16 ***
DESTIN_GRID_ID1605 2.858274 0.217399 13.148 < 2e-16 ***
DESTIN_GRID_ID1606 2.771989 0.217779 12.728 < 2e-16 ***
DESTIN_GRID_ID1607 0.939675 0.218481 4.301 1.70e-05 ***
DESTIN_GRID_ID1608 3.076845 0.217452 14.150 < 2e-16 ***
DESTIN_GRID_ID1609 2.906771 0.217556 13.361 < 2e-16 ***
DESTIN_GRID_ID1610 0.304347 0.234713 1.297 0.194742
DESTIN_GRID_ID1622 2.942045 0.218109 13.489 < 2e-16 ***
DESTIN_GRID_ID1623 3.345231 0.217338 15.392 < 2e-16 ***
DESTIN_GRID_ID1624 1.966986 0.217731 9.034 < 2e-16 ***
DESTIN_GRID_ID1625 3.181167 0.217396 14.633 < 2e-16 ***
DESTIN_GRID_ID1626 4.632690 0.217281 21.321 < 2e-16 ***
DESTIN_GRID_ID1627 1.752426 0.217702 8.050 8.30e-16 ***
DESTIN_GRID_ID1628 3.482816 0.217363 16.023 < 2e-16 ***
DESTIN_GRID_ID1629 1.760337 0.217927 8.078 6.60e-16 ***
DESTIN_GRID_ID1630 1.973715 0.217858 9.060 < 2e-16 ***
DESTIN_GRID_ID1631 -0.986538 0.242859 -4.062 4.86e-05 ***
DESTIN_GRID_ID1642 0.822525 0.221933 3.706 0.000210 ***
DESTIN_GRID_ID1643 2.929079 0.217411 13.473 < 2e-16 ***
DESTIN_GRID_ID1644 1.819194 0.218085 8.342 < 2e-16 ***
DESTIN_GRID_ID1645 2.419139 0.217538 11.121 < 2e-16 ***
DESTIN_GRID_ID1646 2.051697 0.217924 9.415 < 2e-16 ***
DESTIN_GRID_ID1647 2.746899 0.217403 12.635 < 2e-16 ***
DESTIN_GRID_ID1648 2.538327 0.217453 11.673 < 2e-16 ***
DESTIN_GRID_ID1649 2.797771 0.217419 12.868 < 2e-16 ***
DESTIN_GRID_ID1650 3.080874 0.217477 14.166 < 2e-16 ***
DESTIN_GRID_ID1664 -0.535503 0.243221 -2.202 0.027686 *
DESTIN_GRID_ID1665 3.317326 0.217346 15.263 < 2e-16 ***
DESTIN_GRID_ID1666 2.164117 0.217553 9.948 < 2e-16 ***
DESTIN_GRID_ID1667 1.036173 0.221962 4.668 3.04e-06 ***
DESTIN_GRID_ID1668 2.728831 0.217434 12.550 < 2e-16 ***
DESTIN_GRID_ID1670 3.265020 0.217352 15.022 < 2e-16 ***
DESTIN_GRID_ID1671 3.384537 0.217609 15.553 < 2e-16 ***
DESTIN_GRID_ID1672 2.585827 0.217687 11.879 < 2e-16 ***
DESTIN_GRID_ID1684 1.873947 0.218492 8.577 < 2e-16 ***
DESTIN_GRID_ID1685 2.751418 0.217457 12.653 < 2e-16 ***
DESTIN_GRID_ID1686 2.532694 0.217476 11.646 < 2e-16 ***
DESTIN_GRID_ID1687 2.294526 0.217839 10.533 < 2e-16 ***
DESTIN_GRID_ID1688 1.624138 0.217852 7.455 8.97e-14 ***
DESTIN_GRID_ID1689 1.455682 0.217973 6.678 2.42e-11 ***
DESTIN_GRID_ID1690 1.680615 0.217842 7.715 1.21e-14 ***
DESTIN_GRID_ID1691 2.774263 0.217422 12.760 < 2e-16 ***
DESTIN_GRID_ID1692 1.973732 0.217928 9.057 < 2e-16 ***
DESTIN_GRID_ID1706 2.599725 0.217584 11.948 < 2e-16 ***
DESTIN_GRID_ID1707 2.394430 0.217474 11.010 < 2e-16 ***
DESTIN_GRID_ID1708 2.761811 0.217423 12.702 < 2e-16 ***
DESTIN_GRID_ID1709 2.306366 0.217568 10.601 < 2e-16 ***
DESTIN_GRID_ID1710 2.872241 0.217440 13.209 < 2e-16 ***
DESTIN_GRID_ID1711 3.887932 0.217323 17.890 < 2e-16 ***
DESTIN_GRID_ID1712 3.291110 0.217343 15.142 < 2e-16 ***
DESTIN_GRID_ID1713 1.065639 0.218441 4.878 1.07e-06 ***
DESTIN_GRID_ID1714 3.065479 0.217471 14.096 < 2e-16 ***
DESTIN_GRID_ID1726 -1.329754 0.295348 -4.502 6.72e-06 ***
DESTIN_GRID_ID1727 2.873793 0.217449 13.216 < 2e-16 ***
DESTIN_GRID_ID1728 3.156185 0.217359 14.521 < 2e-16 ***
DESTIN_GRID_ID1729 2.354339 0.217517 10.824 < 2e-16 ***
DESTIN_GRID_ID1730 0.354601 0.220800 1.606 0.108277
DESTIN_GRID_ID1731 2.661638 0.217464 12.239 < 2e-16 ***
DESTIN_GRID_ID1732 2.921409 0.217371 13.440 < 2e-16 ***
DESTIN_GRID_ID1733 2.427692 0.217467 11.163 < 2e-16 ***
DESTIN_GRID_ID1734 3.093126 0.217387 14.229 < 2e-16 ***
DESTIN_GRID_ID1735 3.533747 0.217874 16.219 < 2e-16 ***
DESTIN_GRID_ID1748 2.036128 0.217741 9.351 < 2e-16 ***
DESTIN_GRID_ID1749 3.826283 0.217307 17.608 < 2e-16 ***
DESTIN_GRID_ID1750 2.317434 0.217509 10.654 < 2e-16 ***
DESTIN_GRID_ID1751 1.080938 0.218642 4.944 7.66e-07 ***
DESTIN_GRID_ID1753 3.055467 0.217386 14.055 < 2e-16 ***
DESTIN_GRID_ID1754 4.167153 0.217293 19.178 < 2e-16 ***
DESTIN_GRID_ID1755 3.231229 0.217353 14.866 < 2e-16 ***
DESTIN_GRID_ID1756 2.493928 0.217483 11.467 < 2e-16 ***
DESTIN_GRID_ID1757 -0.062410 0.226092 -0.276 0.782519
DESTIN_GRID_ID1768 -0.366146 0.235257 -1.556 0.119620
DESTIN_GRID_ID1769 2.405657 0.217512 11.060 < 2e-16 ***
DESTIN_GRID_ID1770 2.859794 0.217506 13.148 < 2e-16 ***
DESTIN_GRID_ID1771 2.016142 0.217799 9.257 < 2e-16 ***
DESTIN_GRID_ID1772 1.486241 0.221740 6.703 2.05e-11 ***
DESTIN_GRID_ID1774 2.521178 0.217475 11.593 < 2e-16 ***
DESTIN_GRID_ID1775 2.197879 0.217540 10.103 < 2e-16 ***
DESTIN_GRID_ID1776 4.174457 0.217300 19.211 < 2e-16 ***
DESTIN_GRID_ID1777 2.735157 0.217487 12.576 < 2e-16 ***
DESTIN_GRID_ID1778 2.108198 0.219293 9.614 < 2e-16 ***
DESTIN_GRID_ID1790 3.592967 0.217360 16.530 < 2e-16 ***
DESTIN_GRID_ID1791 3.284405 0.217399 15.108 < 2e-16 ***
DESTIN_GRID_ID1792 2.583798 0.217689 11.869 < 2e-16 ***
DESTIN_GRID_ID1793 1.704958 0.217972 7.822 5.20e-15 ***
DESTIN_GRID_ID1794 -0.335159 0.260035 -1.289 0.197432
DESTIN_GRID_ID1795 -0.164427 0.225171 -0.730 0.465250
DESTIN_GRID_ID1796 2.906811 0.217430 13.369 < 2e-16 ***
DESTIN_GRID_ID1797 2.904060 0.217396 13.358 < 2e-16 ***
DESTIN_GRID_ID1798 2.873165 0.217407 13.216 < 2e-16 ***
DESTIN_GRID_ID1799 2.001082 0.217823 9.187 < 2e-16 ***
DESTIN_GRID_ID1800 1.933268 0.221576 8.725 < 2e-16 ***
DESTIN_GRID_ID1811 2.576501 0.217501 11.846 < 2e-16 ***
DESTIN_GRID_ID1812 3.591149 0.217322 16.525 < 2e-16 ***
DESTIN_GRID_ID1813 2.963665 0.217398 13.632 < 2e-16 ***
DESTIN_GRID_ID1817 2.496077 0.217584 11.472 < 2e-16 ***
DESTIN_GRID_ID1818 2.683279 0.217425 12.341 < 2e-16 ***
DESTIN_GRID_ID1819 4.158831 0.217309 19.138 < 2e-16 ***
DESTIN_GRID_ID1820 0.704432 0.220899 3.189 0.001428 **
DESTIN_GRID_ID1832 4.095249 0.217321 18.844 < 2e-16 ***
DESTIN_GRID_ID1833 2.292427 0.217540 10.538 < 2e-16 ***
DESTIN_GRID_ID1834 2.330531 0.217511 10.715 < 2e-16 ***
DESTIN_GRID_ID1835 1.528615 0.218131 7.008 2.42e-12 ***
DESTIN_GRID_ID1837 -0.458689 0.251671 -1.823 0.068368 .
DESTIN_GRID_ID1839 2.280798 0.217661 10.479 < 2e-16 ***
DESTIN_GRID_ID1840 3.886053 0.217321 17.882 < 2e-16 ***
DESTIN_GRID_ID1841 1.527285 0.218853 6.979 2.98e-12 ***
DESTIN_GRID_ID1842 3.747740 0.218166 17.178 < 2e-16 ***
DESTIN_GRID_ID1853 2.588937 0.217465 11.905 < 2e-16 ***
DESTIN_GRID_ID1854 2.897195 0.217413 13.326 < 2e-16 ***
DESTIN_GRID_ID1855 3.119138 0.217410 14.347 < 2e-16 ***
DESTIN_GRID_ID1858 -0.122213 0.236121 -0.518 0.604747
DESTIN_GRID_ID1860 3.101277 0.218117 14.218 < 2e-16 ***
DESTIN_GRID_ID1861 2.627329 0.217505 12.079 < 2e-16 ***
DESTIN_GRID_ID1874 2.997135 0.217494 13.780 < 2e-16 ***
DESTIN_GRID_ID1875 1.107095 0.218897 5.058 4.25e-07 ***
DESTIN_GRID_ID1876 2.989512 0.218413 13.687 < 2e-16 ***
DESTIN_GRID_ID1877 2.780201 0.217474 12.784 < 2e-16 ***
DESTIN_GRID_ID1880 -0.358752 0.252730 -1.420 0.155751
DESTIN_GRID_ID1882 2.875394 0.217471 13.222 < 2e-16 ***
DESTIN_GRID_ID1883 2.486236 0.218444 11.382 < 2e-16 ***
DESTIN_GRID_ID1895 2.573385 0.217520 11.831 < 2e-16 ***
DESTIN_GRID_ID1896 1.947024 0.217694 8.944 < 2e-16 ***
DESTIN_GRID_ID1897 1.602161 0.218069 7.347 2.03e-13 ***
DESTIN_GRID_ID1898 -0.709998 0.248853 -2.853 0.004330 **
DESTIN_GRID_ID1901 -0.474849 0.257058 -1.847 0.064712 .
DESTIN_GRID_ID1903 2.261170 0.218133 10.366 < 2e-16 ***
DESTIN_GRID_ID1916 0.132354 0.229577 0.577 0.564269
DESTIN_GRID_ID1917 2.032687 0.217707 9.337 < 2e-16 ***
DESTIN_GRID_ID1918 2.973598 0.217504 13.671 < 2e-16 ***
DESTIN_GRID_ID1919 3.233072 0.217403 14.871 < 2e-16 ***
DESTIN_GRID_ID1922 0.208130 0.232643 0.895 0.370983
DESTIN_GRID_ID1924 2.236281 0.218182 10.250 < 2e-16 ***
DESTIN_GRID_ID1937 2.576345 0.217580 11.841 < 2e-16 ***
DESTIN_GRID_ID1938 2.931377 0.217405 13.484 < 2e-16 ***
DESTIN_GRID_ID1939 3.027192 0.217449 13.921 < 2e-16 ***
DESTIN_GRID_ID1942 0.559750 0.227762 2.458 0.013986 *
DESTIN_GRID_ID1958 -0.682480 0.255749 -2.669 0.007618 **
DESTIN_GRID_ID1959 2.196636 0.217749 10.088 < 2e-16 ***
DESTIN_GRID_ID1960 4.745018 0.217280 21.838 < 2e-16 ***
DESTIN_GRID_ID1961 2.233324 0.217696 10.259 < 2e-16 ***
DESTIN_GRID_ID1962 2.839751 0.217482 13.057 < 2e-16 ***
DESTIN_GRID_ID1964 0.569890 0.235563 2.419 0.015552 *
DESTIN_GRID_ID1979 2.316940 0.217767 10.640 < 2e-16 ***
DESTIN_GRID_ID1980 0.510194 0.218909 2.331 0.019773 *
DESTIN_GRID_ID1981 2.654425 0.217485 12.205 < 2e-16 ***
DESTIN_GRID_ID1982 1.434836 0.218754 6.559 5.41e-11 ***
DESTIN_GRID_ID1983 2.936831 0.217465 13.505 < 2e-16 ***
DESTIN_GRID_ID1984 1.740486 0.218054 7.982 1.44e-15 ***
DESTIN_GRID_ID1985 2.265258 0.217752 10.403 < 2e-16 ***
DESTIN_GRID_ID2001 2.594257 0.217537 11.926 < 2e-16 ***
DESTIN_GRID_ID2002 3.018434 0.217373 13.886 < 2e-16 ***
DESTIN_GRID_ID2003 3.159106 0.217394 14.532 < 2e-16 ***
DESTIN_GRID_ID2004 3.490790 0.217380 16.058 < 2e-16 ***
DESTIN_GRID_ID2005 2.789941 0.217488 12.828 < 2e-16 ***
DESTIN_GRID_ID2006 3.317619 0.217438 15.258 < 2e-16 ***
DESTIN_GRID_ID2007 0.733975 0.221531 3.313 0.000922 ***
DESTIN_GRID_ID2022 2.957356 0.217563 13.593 < 2e-16 ***
DESTIN_GRID_ID2023 3.340490 0.217372 15.368 < 2e-16 ***
DESTIN_GRID_ID2024 2.929014 0.217407 13.472 < 2e-16 ***
DESTIN_GRID_ID2025 2.531716 0.217467 11.642 < 2e-16 ***
DESTIN_GRID_ID2026 1.824865 0.218029 8.370 < 2e-16 ***
DESTIN_GRID_ID2027 3.328602 0.217416 15.310 < 2e-16 ***
DESTIN_GRID_ID2043 2.395384 0.217715 11.002 < 2e-16 ***
DESTIN_GRID_ID2044 2.933449 0.217423 13.492 < 2e-16 ***
DESTIN_GRID_ID2045 0.317298 0.223100 1.422 0.154961
DESTIN_GRID_ID2046 3.612890 0.217323 16.625 < 2e-16 ***
DESTIN_GRID_ID2047 2.454197 0.217523 11.282 < 2e-16 ***
DESTIN_GRID_ID2048 2.680690 0.217504 12.325 < 2e-16 ***
DESTIN_GRID_ID2049 0.714767 0.220753 3.238 0.001204 **
DESTIN_GRID_ID2064 2.879698 0.217496 13.240 < 2e-16 ***
DESTIN_GRID_ID2065 2.081404 0.217701 9.561 < 2e-16 ***
DESTIN_GRID_ID2066 0.445534 0.222039 2.007 0.044797 *
DESTIN_GRID_ID2067 4.922262 0.217280 22.654 < 2e-16 ***
DESTIN_GRID_ID2068 2.583494 0.217707 11.867 < 2e-16 ***
DESTIN_GRID_ID2069 2.818049 0.217538 12.954 < 2e-16 ***
DESTIN_GRID_ID2085 2.136635 0.217854 9.808 < 2e-16 ***
DESTIN_GRID_ID2086 3.685255 0.217360 16.955 < 2e-16 ***
DESTIN_GRID_ID2087 2.493261 0.217565 11.460 < 2e-16 ***
DESTIN_GRID_ID2088 2.753565 0.217416 12.665 < 2e-16 ***
DESTIN_GRID_ID2089 2.039313 0.217752 9.365 < 2e-16 ***
DESTIN_GRID_ID2090 4.479553 0.217300 20.615 < 2e-16 ***
DESTIN_GRID_ID2091 1.618575 0.221000 7.324 2.41e-13 ***
DESTIN_GRID_ID2105 1.777163 0.235400 7.550 4.37e-14 ***
DESTIN_GRID_ID2106 0.717130 0.219591 3.266 0.001092 **
DESTIN_GRID_ID2107 1.727604 0.217922 7.928 2.23e-15 ***
DESTIN_GRID_ID2108 3.375897 0.217405 15.528 < 2e-16 ***
DESTIN_GRID_ID2109 2.533838 0.217456 11.652 < 2e-16 ***
DESTIN_GRID_ID2110 1.825497 0.217890 8.378 < 2e-16 ***
DESTIN_GRID_ID2111 -0.106237 0.228355 -0.465 0.641769
DESTIN_GRID_ID2128 1.723863 0.218611 7.886 3.13e-15 ***
DESTIN_GRID_ID2129 1.746521 0.218741 7.984 1.41e-15 ***
DESTIN_GRID_ID2130 3.257157 0.217370 14.984 < 2e-16 ***
DESTIN_GRID_ID2131 3.298801 0.217453 15.170 < 2e-16 ***
DESTIN_GRID_ID2132 3.057954 0.217431 14.064 < 2e-16 ***
DESTIN_GRID_ID2148 2.482019 0.218202 11.375 < 2e-16 ***
DESTIN_GRID_ID2149 0.820046 0.219756 3.732 0.000190 ***
DESTIN_GRID_ID2150 3.171301 0.217452 14.584 < 2e-16 ***
DESTIN_GRID_ID2151 3.711050 0.217333 17.075 < 2e-16 ***
DESTIN_GRID_ID2152 3.414016 0.217389 15.705 < 2e-16 ***
DESTIN_GRID_ID2153 2.734343 0.217638 12.564 < 2e-16 ***
DESTIN_GRID_ID2171 3.092244 0.217482 14.218 < 2e-16 ***
DESTIN_GRID_ID2172 1.940433 0.217918 8.904 < 2e-16 ***
DESTIN_GRID_ID2173 2.287735 0.217564 10.515 < 2e-16 ***
DESTIN_GRID_ID2174 2.636731 0.217586 12.118 < 2e-16 ***
DESTIN_GRID_ID2191 2.514477 0.218081 11.530 < 2e-16 ***
DESTIN_GRID_ID2192 1.605138 0.218617 7.342 2.10e-13 ***
DESTIN_GRID_ID2193 2.208844 0.217754 10.144 < 2e-16 ***
DESTIN_GRID_ID2194 2.926063 0.217465 13.455 < 2e-16 ***
DESTIN_GRID_ID2195 1.418862 0.223018 6.362 1.99e-10 ***
DESTIN_GRID_ID2212 1.677078 0.228183 7.350 1.99e-13 ***
DESTIN_GRID_ID2213 0.115059 0.227658 0.505 0.613276
DESTIN_GRID_ID2214 0.779117 0.224189 3.475 0.000510 ***
DESTIN_GRID_ID2215 2.624630 0.217726 12.055 < 2e-16 ***
DESTIN_GRID_ID2216 1.329486 0.218771 6.077 1.22e-09 ***
DESTIN_GRID_ID2233 1.302406 0.225156 5.784 7.27e-09 ***
DESTIN_GRID_ID2234 2.759821 0.219346 12.582 < 2e-16 ***
DESTIN_GRID_ID2235 1.843362 0.219045 8.415 < 2e-16 ***
DESTIN_GRID_ID2236 0.662122 0.220722 3.000 0.002702 **
DESTIN_GRID_ID2237 -0.760467 0.285895 -2.660 0.007815 **
DESTIN_GRID_ID2256 -0.287389 0.242170 -1.187 0.235337
DESTIN_GRID_ID2257 1.131316 0.220956 5.120 3.05e-07 ***
DESTIN_GRID_ID2258 0.639653 0.221686 2.885 0.003909 **
DESTIN_GRID_ID2259 0.784079 0.234464 3.344 0.000825 ***
DESTIN_GRID_ID2277 0.650254 0.232596 2.796 0.005180 **
DESTIN_GRID_ID2278 0.933704 0.223566 4.176 2.96e-05 ***
DESTIN_GRID_ID2279 0.856597 0.220749 3.880 0.000104 ***
DESTIN_GRID_ID2280 -0.052133 0.232369 -0.224 0.822482
DESTIN_GRID_ID2297 2.163623 0.219169 9.872 < 2e-16 ***
DESTIN_GRID_ID2300 0.730213 0.227173 3.214 0.001307 **
DESTIN_GRID_ID2301 0.830171 0.220309 3.768 0.000164 ***
DESTIN_GRID_ID2318 3.135708 0.217807 14.397 < 2e-16 ***
DESTIN_GRID_ID2319 4.177981 0.217427 19.216 < 2e-16 ***
DESTIN_GRID_ID2322 3.868816 0.217561 17.783 < 2e-16 ***
DESTIN_GRID_ID2337 4.570151 0.218410 20.925 < 2e-16 ***
DESTIN_GRID_ID2341 4.829841 0.217376 22.219 < 2e-16 ***
DESTIN_GRID_ID2343 2.342227 0.218014 10.743 < 2e-16 ***
DESTIN_GRID_ID2361 2.650586 0.218025 12.157 < 2e-16 ***
DESTIN_GRID_ID2364 1.509647 0.219293 6.884 5.81e-12 ***
DESTIN_GRID_ID2379 -0.392672 0.226811 -1.731 0.083404 .
DESTIN_GRID_ID2384 2.144202 0.219113 9.786 < 2e-16 ***
DESTIN_GRID_ID2405 1.884538 0.219139 8.600 < 2e-16 ***
DESTIN_GRID_ID2406 0.002676 0.232047 0.012 0.990798
DESTIN_GRID_ID2426 1.353138 0.228433 5.924 3.15e-09 ***
DESTIN_GRID_ID2427 1.619868 0.220252 7.355 1.91e-13 ***
DESTIN_GRID_ID2505 2.519095 0.235444 10.699 < 2e-16 ***
log(dist) -1.560187 0.000498 -3133.037 < 2e-16 ***
---
Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
(Dispersion parameter for poisson family taken to be 1)
Null deviance: 26294811 on 61595 degrees of freedom
Residual deviance: 5622291 on 59960 degrees of freedom
AIC: 5913155
Number of Fisher Scoring iterations: 8CalcRSquared(dbcSIM_sg$data$MORNING_PEAK, dbcSIM_sg$fitted.values)[1] 0.6040924model_list1 <- list(
Doubly_Constrained = dbcSIM,
Doubly_Constrained_sg = dbcSIM_sg
)compare_performance(model_list1, metrics = "RMSE")# Comparison of Model Performance Indices
Name | Model | RMSE
---------------------------------------
Doubly_Constrained | glm | 302.809
Doubly_Constrained_sg | glm | 302.427The results above shows that doubly constrained SIM has lower RMSE but no significant change.
16 Conclusion
In conclusion, four Spatial Interaction Model are constructed and compared to identify important factors influencing public bus commuter flow in Weekends/Holiday Morning Peak Hour from 11am to 2pm. The R-squared for unconstrained, origin constrained, destination constrained and doubly constrained are 0.24, 0.52, 0.45, and 0.67 respectively. The RMSE are 459, 365, 392, and 303 respectively. The significant factor for unconstrained and origin constrained, the most influential variables are distance, destination mrt exit count, destination finserv count. While for destination constrained, the most influential variables are distance, origin mrt exit count, origin finserv count and for doubly constrained, it is distance. In summary, for attractiveness and propulsiveness, distance plays a crucial part. It is followed by mrt exit count, an indicative that people use public bus and transfer to/from MRT/LRT. Then, the number of financial service is also important, it may be related to the number of population in which the more financial service/banks in an area, the highly populated the area is and thus the flow of people taking bus are higher.
17 References
- Long vs Wide Data Picture from https://www.statology.org/long-vs-wide-data/
- Prof. Kam Tin Seong Lectures from https://isss624-ay2023-24nov.netlify.app/lesson